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Large-scale multi-document summarization dataset and code

Classification - Machine Learning This is ‘Classification’ tutorial which is a part of the Machine Learning course offered by Simplilearn. We will learn Classification algorithms, types of classification algorithms, support vector machines(SVM), Naive Bayes, Decision Tree and Random Forest Classifier in this tutorial. Objectives Let us look at some of the objectives covered under this section of Machine Learning tutorial. Define Classification and list its algorithms Describe Logistic Regression and Sigmoid Probability Explain K-Nearest Neighbors and KNN classification Understand Support Vector Machines, Polynomial Kernel, and Kernel Trick Analyze Kernel Support Vector Machines with an example Implement the Naïve Bayes Classifier Demonstrate Decision Tree Classifier Describe Random Forest Classifier Classification: Meaning Classification is a type of supervised learning. It specifies the class to which data elements belong to and is best used when the output has finite and discrete values. It predicts a class for an input variable as well. There are 2 types of Classification: Binomial Multi-Class Classification: Use Cases Some of the key areas where classification cases are being used: To find whether an email received is a spam or ham To identify customer segments To find if a bank loan is granted To identify if a kid will pass or fail in an examination Classification: Example Social media sentiment analysis has two potential outcomes, positive or negative, as displayed by the chart given below. https://www.simplilearn.com/ice9/free_resources_article_thumb/classification-example-machine-learning.JPG This chart shows the classification of the Iris flower dataset into its three sub-species indicated by codes 0, 1, and 2. https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-flower-dataset-graph.JPG The test set dots represent the assignment of new test data points to one class or the other based on the trained classifier model. Types of Classification Algorithms Let’s have a quick look into the types of Classification Algorithm below. Linear Models Logistic Regression Support Vector Machines Nonlinear models K-nearest Neighbors (KNN) Kernel Support Vector Machines (SVM) Naïve Bayes Decision Tree Classification Random Forest Classification Logistic Regression: Meaning Let us understand the Logistic Regression model below. This refers to a regression model that is used for classification. This method is widely used for binary classification problems. It can also be extended to multi-class classification problems. Here, the dependent variable is categorical: y ϵ {0, 1} A binary dependent variable can have only two values, like 0 or 1, win or lose, pass or fail, healthy or sick, etc In this case, you model the probability distribution of output y as 1 or 0. This is called the sigmoid probability (σ). If σ(θ Tx) > 0.5, set y = 1, else set y = 0 Unlike Linear Regression (and its Normal Equation solution), there is no closed form solution for finding optimal weights of Logistic Regression. Instead, you must solve this with maximum likelihood estimation (a probability model to detect the maximum likelihood of something happening). It can be used to calculate the probability of a given outcome in a binary model, like the probability of being classified as sick or passing an exam. https://www.simplilearn.com/ice9/free_resources_article_thumb/logistic-regression-example-graph.JPG Sigmoid Probability The probability in the logistic regression is often represented by the Sigmoid function (also called the logistic function or the S-curve): https://www.simplilearn.com/ice9/free_resources_article_thumb/sigmoid-function-machine-learning.JPG In this equation, t represents data values * the number of hours studied and S(t) represents the probability of passing the exam. Assume sigmoid function: https://www.simplilearn.com/ice9/free_resources_article_thumb/sigmoid-probability-machine-learning.JPG g(z) tends toward 1 as z -> infinity , and g(z) tends toward 0 as z -> infinity K-nearest Neighbors (KNN) K-nearest Neighbors algorithm is used to assign a data point to clusters based on similarity measurement. It uses a supervised method for classification. The steps to writing a k-means algorithm are as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/knn-distribution-graph-machine-learning.JPG Choose the number of k and a distance metric. (k = 5 is common) Find k-nearest neighbors of the sample that you want to classify Assign the class label by majority vote. KNN Classification A new input point is classified in the category such that it has the most number of neighbors from that category. For example: https://www.simplilearn.com/ice9/free_resources_article_thumb/knn-classification-machine-learning.JPG Classify a patient as high risk or low risk. Mark email as spam or ham. Keen on learning about Classification Algorithms in Machine Learning? Click here! Support Vector Machine (SVM) Let us understand Support Vector Machine (SVM) in detail below. SVMs are classification algorithms used to assign data to various classes. They involve detecting hyperplanes which segregate data into classes. SVMs are very versatile and are also capable of performing linear or nonlinear classification, regression, and outlier detection. Once ideal hyperplanes are discovered, new data points can be easily classified. https://www.simplilearn.com/ice9/free_resources_article_thumb/support-vector-machines-graph-machine-learning.JPG The optimization objective is to find “maximum margin hyperplane” that is farthest from the closest points in the two classes (these points are called support vectors). In the given figure, the middle line represents the hyperplane. SVM Example Let’s look at this image below and have an idea about SVM in general. Hyperplanes with larger margins have lower generalization error. The positive and negative hyperplanes are represented by: https://www.simplilearn.com/ice9/free_resources_article_thumb/positive-negative-hyperplanes-machine-learning.JPG Classification of any new input sample xtest : If w0 + wTxtest > 1, the sample xtest is said to be in the class toward the right of the positive hyperplane. If w0 + wTxtest < -1, the sample xtest is said to be in the class toward the left of the negative hyperplane. When you subtract the two equations, you get: https://www.simplilearn.com/ice9/free_resources_article_thumb/equation-subtraction-machine-learning.JPG Length of vector w is (L2 norm length): https://www.simplilearn.com/ice9/free_resources_article_thumb/length-of-vector-machine-learning.JPG You normalize with the length of w to arrive at: https://www.simplilearn.com/ice9/free_resources_article_thumb/normalize-equation-machine-learning.JPG SVM: Hard Margin Classification Given below are some points to understand Hard Margin Classification. The left side of equation SVM-1 given above can be interpreted as the distance between the positive (+ve) and negative (-ve) hyperplanes; in other words, it is the margin that can be maximized. Hence the objective of the function is to maximize with the constraint that the samples are classified correctly, which is represented as : https://www.simplilearn.com/ice9/free_resources_article_thumb/hard-margin-classification-machine-learning.JPG This means that you are minimizing ‖w‖. This also means that all positive samples are on one side of the positive hyperplane and all negative samples are on the other side of the negative hyperplane. This can be written concisely as : https://www.simplilearn.com/ice9/free_resources_article_thumb/hard-margin-classification-formula.JPG Minimizing ‖w‖ is the same as minimizing. This figure is better as it is differentiable even at w = 0. The approach listed above is called “hard margin linear SVM classifier.” SVM: Soft Margin Classification Given below are some points to understand Soft Margin Classification. To allow for linear constraints to be relaxed for nonlinearly separable data, a slack variable is introduced. (i) measures how much ith instance is allowed to violate the margin. The slack variable is simply added to the linear constraints. https://www.simplilearn.com/ice9/free_resources_article_thumb/soft-margin-calculation-machine-learning.JPG Subject to the above constraints, the new objective to be minimized becomes: https://www.simplilearn.com/ice9/free_resources_article_thumb/soft-margin-calculation-formula.JPG You have two conflicting objectives now—minimizing slack variable to reduce margin violations and minimizing to increase the margin. The hyperparameter C allows us to define this trade-off. Large values of C correspond to larger error penalties (so smaller margins), whereas smaller values of C allow for higher misclassification errors and larger margins. https://www.simplilearn.com/ice9/free_resources_article_thumb/machine-learning-certification-video-preview.jpg SVM: Regularization The concept of C is the reverse of regularization. Higher C means lower regularization, which increases bias and lowers the variance (causing overfitting). https://www.simplilearn.com/ice9/free_resources_article_thumb/concept-of-c-graph-machine-learning.JPG IRIS Data Set The Iris dataset contains measurements of 150 IRIS flowers from three different species: Setosa Versicolor Viriginica Each row represents one sample. Flower measurements in centimeters are stored as columns. These are called features. IRIS Data Set: SVM Let’s train an SVM model using sci-kit-learn for the Iris dataset: https://www.simplilearn.com/ice9/free_resources_article_thumb/svm-model-graph-machine-learning.JPG Nonlinear SVM Classification There are two ways to solve nonlinear SVMs: by adding polynomial features by adding similarity features Polynomial features can be added to datasets; in some cases, this can create a linearly separable dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/nonlinear-classification-svm-machine-learning.JPG In the figure on the left, there is only 1 feature x1. This dataset is not linearly separable. If you add x2 = (x1)2 (figure on the right), the data becomes linearly separable. Polynomial Kernel In sci-kit-learn, one can use a Pipeline class for creating polynomial features. Classification results for the Moons dataset are shown in the figure. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-machine-learning.JPG Polynomial Kernel with Kernel Trick Let us look at the image below and understand Kernel Trick in detail. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-with-kernel-trick.JPG For large dimensional datasets, adding too many polynomial features can slow down the model. You can apply a kernel trick with the effect of polynomial features without actually adding them. The code is shown (SVC class) below trains an SVM classifier using a 3rd-degree polynomial kernel but with a kernel trick. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-equation-machine-learning.JPG The hyperparameter coefθ controls the influence of high-degree polynomials. Kernel SVM Let us understand in detail about Kernel SVM. Kernel SVMs are used for classification of nonlinear data. In the chart, nonlinear data is projected into a higher dimensional space via a mapping function where it becomes linearly separable. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-machine-learning.JPG In the higher dimension, a linear separating hyperplane can be derived and used for classification. A reverse projection of the higher dimension back to original feature space takes it back to nonlinear shape. As mentioned previously, SVMs can be kernelized to solve nonlinear classification problems. You can create a sample dataset for XOR gate (nonlinear problem) from NumPy. 100 samples will be assigned the class sample 1, and 100 samples will be assigned the class label -1. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-graph-machine-learning.JPG As you can see, this data is not linearly separable. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-non-separable.JPG You now use the kernel trick to classify XOR dataset created earlier. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-xor-machine-learning.JPG Naïve Bayes Classifier What is Naive Bayes Classifier? Have you ever wondered how your mail provider implements spam filtering or how online news channels perform news text classification or even how companies perform sentiment analysis of their audience on social media? All of this and more are done through a machine learning algorithm called Naive Bayes Classifier. Naive Bayes Named after Thomas Bayes from the 1700s who first coined this in the Western literature. Naive Bayes classifier works on the principle of conditional probability as given by the Bayes theorem. Advantages of Naive Bayes Classifier Listed below are six benefits of Naive Bayes Classifier. Very simple and easy to implement Needs less training data Handles both continuous and discrete data Highly scalable with the number of predictors and data points As it is fast, it can be used in real-time predictions Not sensitive to irrelevant features Bayes Theorem We will understand Bayes Theorem in detail from the points mentioned below. According to the Bayes model, the conditional probability P(Y|X) can be calculated as: P(Y|X) = P(X|Y)P(Y) / P(X) This means you have to estimate a very large number of P(X|Y) probabilities for a relatively small vector space X. For example, for a Boolean Y and 30 possible Boolean attributes in the X vector, you will have to estimate 3 billion probabilities P(X|Y). To make it practical, a Naïve Bayes classifier is used, which assumes conditional independence of P(X) to each other, with a given value of Y. This reduces the number of probability estimates to 2*30=60 in the above example. Naïve Bayes Classifier for SMS Spam Detection Consider a labeled SMS database having 5574 messages. It has messages as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/naive-bayes-spam-machine-learning.JPG Each message is marked as spam or ham in the data set. Let’s train a model with Naïve Bayes algorithm to detect spam from ham. The message lengths and their frequency (in the training dataset) are as shown below: https://www.simplilearn.com/ice9/free_resources_article_thumb/naive-bayes-spam-spam-detection.JPG Analyze the logic you use to train an algorithm to detect spam: Split each message into individual words/tokens (bag of words). Lemmatize the data (each word takes its base form, like “walking” or “walked” is replaced with “walk”). Convert data to vectors using scikit-learn module CountVectorizer. Run TFIDF to remove common words like “is,” “are,” “and.” Now apply scikit-learn module for Naïve Bayes MultinomialNB to get the Spam Detector. This spam detector can then be used to classify a random new message as spam or ham. Next, the accuracy of the spam detector is checked using the Confusion Matrix. For the SMS spam example above, the confusion matrix is shown on the right. Accuracy Rate = Correct / Total = (4827 + 592)/5574 = 97.21% Error Rate = Wrong / Total = (155 + 0)/5574 = 2.78% https://www.simplilearn.com/ice9/free_resources_article_thumb/confusion-matrix-machine-learning.JPG Although confusion Matrix is useful, some more precise metrics are provided by Precision and Recall. https://www.simplilearn.com/ice9/free_resources_article_thumb/precision-recall-matrix-machine-learning.JPG Precision refers to the accuracy of positive predictions. https://www.simplilearn.com/ice9/free_resources_article_thumb/precision-formula-machine-learning.JPG Recall refers to the ratio of positive instances that are correctly detected by the classifier (also known as True positive rate or TPR). https://www.simplilearn.com/ice9/free_resources_article_thumb/recall-formula-machine-learning.JPG Precision/Recall Trade-off To detect age-appropriate videos for kids, you need high precision (low recall) to ensure that only safe videos make the cut (even though a few safe videos may be left out). The high recall is needed (low precision is acceptable) in-store surveillance to catch shoplifters; a few false alarms are acceptable, but all shoplifters must be caught. Learn about Naive Bayes in detail. Click here! Decision Tree Classifier Some aspects of the Decision Tree Classifier mentioned below are. Decision Trees (DT) can be used both for classification and regression. The advantage of decision trees is that they require very little data preparation. They do not require feature scaling or centering at all. They are also the fundamental components of Random Forests, one of the most powerful ML algorithms. Unlike Random Forests and Neural Networks (which do black-box modeling), Decision Trees are white box models, which means that inner workings of these models are clearly understood. In the case of classification, the data is segregated based on a series of questions. Any new data point is assigned to the selected leaf node. https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-classifier-machine-learning.JPG Start at the tree root and split the data on the feature using the decision algorithm, resulting in the largest information gain (IG). This splitting procedure is then repeated in an iterative process at each child node until the leaves are pure. This means that the samples at each node belonging to the same class. In practice, you can set a limit on the depth of the tree to prevent overfitting. The purity is compromised here as the final leaves may still have some impurity. The figure shows the classification of the Iris dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-classifier-graph.JPG IRIS Decision Tree Let’s build a Decision Tree using scikit-learn for the Iris flower dataset and also visualize it using export_graphviz API. https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-machine-learning.JPG The output of export_graphviz can be converted into png format: https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-output.JPG Sample attribute stands for the number of training instances the node applies to. Value attribute stands for the number of training instances of each class the node applies to. Gini impurity measures the node’s impurity. A node is “pure” (gini=0) if all training instances it applies to belong to the same class. https://www.simplilearn.com/ice9/free_resources_article_thumb/impurity-formula-machine-learning.JPG For example, for Versicolor (green color node), the Gini is 1-(0/54)2 -(49/54)2 -(5/54) 2 ≈ 0.168 https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-sample.JPG Decision Boundaries Let us learn to create decision boundaries below. For the first node (depth 0), the solid line splits the data (Iris-Setosa on left). Gini is 0 for Setosa node, so no further split is possible. The second node (depth 1) splits the data into Versicolor and Virginica. If max_depth were set as 3, a third split would happen (vertical dotted line). https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-boundaries.JPG For a sample with petal length 5 cm and petal width 1.5 cm, the tree traverses to depth 2 left node, so the probability predictions for this sample are 0% for Iris-Setosa (0/54), 90.7% for Iris-Versicolor (49/54), and 9.3% for Iris-Virginica (5/54) CART Training Algorithm Scikit-learn uses Classification and Regression Trees (CART) algorithm to train Decision Trees. CART algorithm: Split the data into two subsets using a single feature k and threshold tk (example, petal length < “2.45 cm”). This is done recursively for each node. k and tk are chosen such that they produce the purest subsets (weighted by their size). The objective is to minimize the cost function as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/cart-training-algorithm-machine-learning.JPG The algorithm stops executing if one of the following situations occurs: max_depth is reached No further splits are found for each node Other hyperparameters may be used to stop the tree: min_samples_split min_samples_leaf min_weight_fraction_leaf max_leaf_nodes Gini Impurity or Entropy Entropy is one more measure of impurity and can be used in place of Gini. https://www.simplilearn.com/ice9/free_resources_article_thumb/gini-impurity-entrophy.JPG It is a degree of uncertainty, and Information Gain is the reduction that occurs in entropy as one traverses down the tree. Entropy is zero for a DT node when the node contains instances of only one class. Entropy for depth 2 left node in the example given above is: https://www.simplilearn.com/ice9/free_resources_article_thumb/entrophy-for-depth-2.JPG Gini and Entropy both lead to similar trees. DT: Regularization The following figure shows two decision trees on the moons dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/dt-regularization-machine-learning.JPG The decision tree on the right is restricted by min_samples_leaf = 4. The model on the left is overfitting, while the model on the right generalizes better. Random Forest Classifier Let us have an understanding of Random Forest Classifier below. A random forest can be considered an ensemble of decision trees (Ensemble learning). Random Forest algorithm: Draw a random bootstrap sample of size n (randomly choose n samples from the training set). Grow a decision tree from the bootstrap sample. At each node, randomly select d features. Split the node using the feature that provides the best split according to the objective function, for instance by maximizing the information gain. Repeat the steps 1 to 2 k times. (k is the number of trees you want to create, using a subset of samples) Aggregate the prediction by each tree for a new data point to assign the class label by majority vote (pick the group selected by the most number of trees and assign new data point to that group). Random Forests are opaque, which means it is difficult to visualize their inner workings. https://www.simplilearn.com/ice9/free_resources_article_thumb/random-forest-classifier-graph.JPG However, the advantages outweigh their limitations since you do not have to worry about hyperparameters except k, which stands for the number of decision trees to be created from a subset of samples. RF is quite robust to noise from the individual decision trees. Hence, you need not prune individual decision trees. The larger the number of decision trees, the more accurate the Random Forest prediction is. (This, however, comes with higher computation cost). Key Takeaways Let us quickly run through what we have learned so far in this Classification tutorial. Classification algorithms are supervised learning methods to split data into classes. They can work on Linear Data as well as Nonlinear Data. Logistic Regression can classify data based on weighted parameters and sigmoid conversion to calculate the probability of classes. K-nearest Neighbors (KNN) algorithm uses similar features to classify data. Support Vector Machines (SVMs) classify data by detecting the maximum margin hyperplane between data classes. Naïve Bayes, a simplified Bayes Model, can help classify data using conditional probability models. Decision Trees are powerful classifiers and use tree splitting logic until pure or somewhat pure leaf node classes are attained. Random Forests apply Ensemble Learning to Decision Trees for more accurate classification predictions. Conclusion This completes ‘Classification’ tutorial. In the next tutorial, we will learn 'Unsupervised Learning with Clustering.'

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Official repository for "Memory-Guided Multi-View Multi-Domain Fake News Detection", IEEE TKDE.

# This scripts is edited under the General Public License as defined by the Free software foundation. # This package is distributed in the hope that it will be useful, but without any warranty; It can be used and modified and shared but should be referenced to, it CANNOT be # sold or be used for a commercial-economical purpose. # See the details in the file LICENCE.txt that is situated in the folder of the script or visit http://gplv3.fsf.org/ ) # The discovery of One algorithm used in WPSPIN have been made parallely and previously by zhaochunsheng in a C. script named computepinC83A35. as i don't known C or # programming and found this out after coding the first version of WPS, this bash script doesn't use a dingle line of computepinC83A35. # But it had to be saved that zhaochunsheng found the main algorithm on Chinese access points months before I found it on a new Belkin N router, without knowing it works. # The page of the author is sadly down and i cannot link you to a straight source # This code wouldn't have been possible with the help and advices of antares_145, r00tnuLL and 1camaron1, thanks to them billion a billion time :) # It wouldn't have been possible neither without my beloved lampiweb.com work crew, maripuri, bentosouto, dirneet, betis-jesus, compota, errboricobueno, pinty_102 nad all users # greetings to crack-wifi.com familly, yasmine, M1ck3y, spawn, goliate, fuji, antares has been already credited, koala, noireaude, vances1, konik etc... and all users # greetings to auditoriaswireless.net and thanks to the big chief papones for the hosting and greetings to everybody # This code uses wps reaver that has to be installed on it own, reaver is a free software (http://code.google.com/p/reaver-wps/) (GPL2) by Tactical Network Solutions. Thanks to # them for this amazing work # You also need aircrack-ng, thanks to Mister X and kevin devine for providing the best suite ever (http://www.aircrack-ng.org/) # I would like also to thanks Stefan Viehbock for all is amazing work on wps (http://sviehb.wordpress.com/2011/12/27/wi-fi-protected-setup-pin-brute-force-vulnerability/) HOW TO USE WPSPIN? - Unzip the package that you download < unzip WPSPIN > - once situated in the created folder (cd WPSPIN) launch the script with < bash WPSPIN.sh > REQUIREMENTS If you use WPSPIN as a simple generator no requierement. 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Poole, Mackworth & Goebel 1998, p. 1. Russell & Norvig 2003, p. 55. Definition of AI as the study of intelligent agents: Poole, Mackworth & Goebel (1998), which provides the version that is used in this article. These authors use the term "computational intelligence" as a synonym for artificial intelligence.[1] Russell & Norvig (2003) (who prefer the term "rational agent") and write "The whole-agent view is now widely accepted in the field".[2] Nilsson 1998 Legg & Hutter 2007 Russell & Norvig 2009, p. 2. McCorduck 2004, p. 204 Maloof, Mark. "Artificial Intelligence: An Introduction, p. 37" (PDF). georgetown.edu. Archived (PDF) from the original on 25 August 2018. "How AI Is Getting Groundbreaking Changes In Talent Management And HR Tech". Hackernoon. Archived from the original on 11 September 2019. Retrieved 14 February 2020. Schank, Roger C. (1991). "Where's the AI". AI magazine. Vol. 12 no. 4. p. 38. Russell & Norvig 2009. "AlphaGo – Google DeepMind". Archived from the original on 10 March 2016. Allen, Gregory (April 2020). "Department of Defense Joint AI Center - Understanding AI Technology" (PDF). AI.mil - The official site of the Department of Defense Joint Artificial Intelligence Center. Archived (PDF) from the original on 21 April 2020. Retrieved 25 April 2020. Optimism of early AI: * Herbert Simon quote: Simon 1965, p. 96 quoted in Crevier 1993, p. 109. * Marvin Minsky quote: Minsky 1967, p. 2 quoted in Crevier 1993, p. 109. Boom of the 1980s: rise of expert systems, Fifth Generation Project, Alvey, MCC, SCI: * McCorduck 2004, pp. 426–441 * Crevier 1993, pp. 161–162,197–203, 211, 240 * Russell & Norvig 2003, p. 24 * NRC 1999, pp. 210–211 * Newquist 1994, pp. 235–248 First AI Winter, Mansfield Amendment, Lighthill report * Crevier 1993, pp. 115–117 * Russell & Norvig 2003, p. 22 * NRC 1999, pp. 212–213 * Howe 1994 * Newquist 1994, pp. 189–201 Second AI winter: * McCorduck 2004, pp. 430–435 * Crevier 1993, pp. 209–210 * NRC 1999, pp. 214–216 * Newquist 1994, pp. 301–318 AI becomes hugely successful in the early 21st century * Clark 2015 Pamela McCorduck (2004, p. 424) writes of "the rough shattering of AI in subfields—vision, natural language, decision theory, genetic algorithms, robotics ... and these with own sub-subfield—that would hardly have anything to say to each other." This list of intelligent traits is based on the topics covered by the major AI textbooks, including: * Russell & Norvig 2003 * Luger & Stubblefield 2004 * Poole, Mackworth & Goebel 1998 * Nilsson 1998 Kolata 1982. Maker 2006. Biological intelligence vs. intelligence in general: Russell & Norvig 2003, pp. 2–3, who make the analogy with aeronautical engineering. McCorduck 2004, pp. 100–101, who writes that there are "two major branches of artificial intelligence: one aimed at producing intelligent behavior regardless of how it was accomplished, and the other aimed at modeling intelligent processes found in nature, particularly human ones." Kolata 1982, a paper in Science, which describes McCarthy's indifference to biological models. Kolata quotes McCarthy as writing: "This is AI, so we don't care if it's psychologically real".[19] McCarthy recently reiterated his position at the AI@50 conference where he said "Artificial intelligence is not, by definition, simulation of human intelligence".[20]. Neats vs. scruffies: * McCorduck 2004, pp. 421–424, 486–489 * Crevier 1993, p. 168 * Nilsson 1983, pp. 10–11 Symbolic vs. sub-symbolic AI: * Nilsson (1998, p. 7), who uses the term "sub-symbolic". General intelligence (strong AI) is discussed in popular introductions to AI: * Kurzweil 1999 and Kurzweil 2005 See the Dartmouth proposal, under Philosophy, below. McCorduck 2004, p. 34. McCorduck 2004, p. xviii. McCorduck 2004, p. 3. McCorduck 2004, pp. 340–400. This is a central idea of Pamela McCorduck's Machines Who Think. She writes: "I like to think of artificial intelligence as the scientific apotheosis of a venerable cultural tradition."[26] "Artificial intelligence in one form or another is an idea that has pervaded Western intellectual history, a dream in urgent need of being realized."[27] "Our history is full of attempts—nutty, eerie, comical, earnest, legendary and real—to make artificial intelligences, to reproduce what is the essential us—bypassing the ordinary means. Back and forth between myth and reality, our imaginations supplying what our workshops couldn't, we have engaged for a long time in this odd form of self-reproduction."[28] She traces the desire back to its Hellenistic roots and calls it the urge to "forge the Gods."[29] "Stephen Hawking believes AI could be mankind's last accomplishment". BetaNews. 21 October 2016. Archived from the original on 28 August 2017. Lombardo P, Boehm I, Nairz K (2020). "RadioComics – Santa Claus and the future of radiology". Eur J Radiol. 122 (1): 108771. doi:10.1016/j.ejrad.2019.108771. PMID 31835078. Ford, Martin; Colvin, Geoff (6 September 2015). "Will robots create more jobs than they destroy?". The Guardian. Archived from the original on 16 June 2018. Retrieved 13 January 2018. AI applications widely used behind the scenes: * Russell & Norvig 2003, p. 28 * Kurzweil 2005, p. 265 * NRC 1999, pp. 216–222 * Newquist 1994, pp. 189–201 AI in myth: * McCorduck 2004, pp. 4–5 * Russell & Norvig 2003, p. 939 AI in early science fiction. * McCorduck 2004, pp. 17–25 Formal reasoning: * Berlinski, David (2000). The Advent of the Algorithm. Harcourt Books. ISBN 978-0-15-601391-8. OCLC 46890682. Archived from the original on 26 July 2020. Retrieved 22 August 2020. Turing, Alan (1948), "Machine Intelligence", in Copeland, B. Jack (ed.), The Essential Turing: The ideas that gave birth to the computer age, Oxford: Oxford University Press, p. 412, ISBN 978-0-19-825080-7 Russell & Norvig 2009, p. 16. Dartmouth conference: * McCorduck 2004, pp. 111–136 * Crevier 1993, pp. 47–49, who writes "the conference is generally recognized as the official birthdate of the new science." * Russell & Norvig 2003, p. 17, who call the conference "the birth of artificial intelligence." * NRC 1999, pp. 200–201 McCarthy, John (1988). "Review of The Question of Artificial Intelligence". Annals of the History of Computing. 10 (3): 224–229., collected in McCarthy, John (1996). "10. Review of The Question of Artificial Intelligence". Defending AI Research: A Collection of Essays and Reviews. CSLI., p. 73, "[O]ne of the reasons for inventing the term "artificial intelligence" was to escape association with "cybernetics". Its concentration on analog feedback seemed misguided, and I wished to avoid having either to accept Norbert (not Robert) Wiener as a guru or having to argue with him." Hegemony of the Dartmouth conference attendees: * Russell & Norvig 2003, p. 17, who write "for the next 20 years the field would be dominated by these people and their students." * McCorduck 2004, pp. 129–130 Russell & Norvig 2003, p. 18. Schaeffer J. (2009) Didn't Samuel Solve That Game?. In: One Jump Ahead. Springer, Boston, MA Samuel, A. L. (July 1959). "Some Studies in Machine Learning Using the Game of Checkers". IBM Journal of Research and Development. 3 (3): 210–229. CiteSeerX 10.1.1.368.2254. doi:10.1147/rd.33.0210. "Golden years" of AI (successful symbolic reasoning programs 1956–1973): * McCorduck 2004, pp. 243–252 * Crevier 1993, pp. 52–107 * Moravec 1988, p. 9 * Russell & Norvig 2003, pp. 18–21 The programs described are Arthur Samuel's checkers program for the IBM 701, Daniel Bobrow's STUDENT, Newell and Simon's Logic Theorist and Terry Winograd's SHRDLU. DARPA pours money into undirected pure research into AI during the 1960s: * McCorduck 2004, p. 131 * Crevier 1993, pp. 51, 64–65 * NRC 1999, pp. 204–205 AI in England: * Howe 1994 Lighthill 1973. Expert systems: * ACM 1998, I.2.1 * Russell & Norvig 2003, pp. 22–24 * Luger & Stubblefield 2004, pp. 227–331 * Nilsson 1998, chpt. 17.4 * McCorduck 2004, pp. 327–335, 434–435 * Crevier 1993, pp. 145–62, 197–203 * Newquist 1994, pp. 155–183 Mead, Carver A.; Ismail, Mohammed (8 May 1989). Analog VLSI Implementation of Neural Systems (PDF). The Kluwer International Series in Engineering and Computer Science. 80. Norwell, MA: Kluwer Academic Publishers. doi:10.1007/978-1-4613-1639-8. ISBN 978-1-4613-1639-8. Archived from the original (PDF) on 6 November 2019. Retrieved 24 January 2020. Formal methods are now preferred ("Victory of the neats"): * Russell & Norvig 2003, pp. 25–26 * McCorduck 2004, pp. 486–487 McCorduck 2004, pp. 480–483. Markoff 2011. 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Cognitive Systems Research. 48: 39–55. doi:10.1016/j.cogsys.2017.05.001. hdl:2318/1665207. S2CID 206868967. Problem solving, puzzle solving, game playing and deduction: * Russell & Norvig 2003, chpt. 3–9, * Poole, Mackworth & Goebel 1998, chpt. 2,3,7,9, * Luger & Stubblefield 2004, chpt. 3,4,6,8, * Nilsson 1998, chpt. 7–12 Uncertain reasoning: * Russell & Norvig 2003, pp. 452–644, * Poole, Mackworth & Goebel 1998, pp. 345–395, * Luger & Stubblefield 2004, pp. 333–381, * Nilsson 1998, chpt. 19 Psychological evidence of sub-symbolic reasoning: * Wason & Shapiro (1966) showed that people do poorly on completely abstract problems, but if the problem is restated to allow the use of intuitive social intelligence, performance dramatically improves. (See Wason selection task) * Kahneman, Slovic & Tversky (1982) have shown that people are terrible at elementary problems that involve uncertain reasoning. (See list of cognitive biases for several examples). * Lakoff & Núñez (2000) have controversially argued that even our skills at mathematics depend on knowledge and skills that come from "the body", i.e. sensorimotor and perceptual skills. (See Where Mathematics Comes From) Knowledge representation: * ACM 1998, I.2.4, * Russell & Norvig 2003, pp. 320–363, * Poole, Mackworth & Goebel 1998, pp. 23–46, 69–81, 169–196, 235–277, 281–298, 319–345, * Luger & Stubblefield 2004, pp. 227–243, * Nilsson 1998, chpt. 18 Knowledge engineering: * Russell & Norvig 2003, pp. 260–266, * Poole, Mackworth & Goebel 1998, pp. 199–233, * Nilsson 1998, chpt. ≈17.1–17.4 Representing categories and relations: Semantic networks, description logics, inheritance (including frames and scripts): * Russell & Norvig 2003, pp. 349–354, * Poole, Mackworth & Goebel 1998, pp. 174–177, * Luger & Stubblefield 2004, pp. 248–258, * Nilsson 1998, chpt. 18.3 Representing events and time:Situation calculus, event calculus, fluent calculus (including solving the frame problem): * Russell & Norvig 2003, pp. 328–341, * Poole, Mackworth & Goebel 1998, pp. 281–298, * Nilsson 1998, chpt. 18.2 Causal calculus: * Poole, Mackworth & Goebel 1998, pp. 335–337 Representing knowledge about knowledge: Belief calculus, modal logics: * Russell & Norvig 2003, pp. 341–344, * Poole, Mackworth & Goebel 1998, pp. 275–277 Sikos, Leslie F. (June 2017). Description Logics in Multimedia Reasoning. Cham: Springer. doi:10.1007/978-3-319-54066-5. ISBN 978-3-319-54066-5. S2CID 3180114. Archived from the original on 29 August 2017. Ontology: * Russell & Norvig 2003, pp. 320–328 Smoliar, Stephen W.; Zhang, HongJiang (1994). "Content based video indexing and retrieval". IEEE Multimedia. 1 (2): 62–72. doi:10.1109/93.311653. S2CID 32710913. Neumann, Bernd; Möller, Ralf (January 2008). "On scene interpretation with description logics". Image and Vision Computing. 26 (1): 82–101. doi:10.1016/j.imavis.2007.08.013. Kuperman, G. J.; Reichley, R. M.; Bailey, T. C. (1 July 2006). "Using Commercial Knowledge Bases for Clinical Decision Support: Opportunities, Hurdles, and Recommendations". Journal of the American Medical Informatics Association. 13 (4): 369–371. doi:10.1197/jamia.M2055. PMC 1513681. PMID 16622160. MCGARRY, KEN (1 December 2005). "A survey of interestingness measures for knowledge discovery". The Knowledge Engineering Review. 20 (1): 39–61. doi:10.1017/S0269888905000408. S2CID 14987656. Bertini, M; Del Bimbo, A; Torniai, C (2006). "Automatic annotation and semantic retrieval of video sequences using multimedia ontologies". MM '06 Proceedings of the 14th ACM international conference on Multimedia. 14th ACM international conference on Multimedia. Santa Barbara: ACM. pp. 679–682. Qualification problem: * McCarthy & Hayes 1969 * Russell & Norvig 2003[page needed] While McCarthy was primarily concerned with issues in the logical representation of actions, Russell & Norvig 2003 apply the term to the more general issue of default reasoning in the vast network of assumptions underlying all our commonsense knowledge. Default reasoning and default logic, non-monotonic logics, circumscription, closed world assumption, abduction (Poole et al. places abduction under "default reasoning". Luger et al. places this under "uncertain reasoning"): * Russell & Norvig 2003, pp. 354–360, * Poole, Mackworth & Goebel 1998, pp. 248–256, 323–335, * Luger & Stubblefield 2004, pp. 335–363, * Nilsson 1998, ~18.3.3 Breadth of commonsense knowledge: * Russell & Norvig 2003, p. 21, * Crevier 1993, pp. 113–114, * Moravec 1988, p. 13, * Lenat & Guha 1989 (Introduction) Dreyfus & Dreyfus 1986. Gladwell 2005. Expert knowledge as embodied intuition: * Dreyfus & Dreyfus 1986 (Hubert Dreyfus is a philosopher and critic of AI who was among the first to argue that most useful human knowledge was encoded sub-symbolically. See Dreyfus' critique of AI) * Gladwell 2005 (Gladwell's Blink is a popular introduction to sub-symbolic reasoning and knowledge.) * Hawkins & Blakeslee 2005 (Hawkins argues that sub-symbolic knowledge should be the primary focus of AI research.) Planning: * ACM 1998, ~I.2.8, * Russell & Norvig 2003, pp. 375–459, * Poole, Mackworth & Goebel 1998, pp. 281–316, * Luger & Stubblefield 2004, pp. 314–329, * Nilsson 1998, chpt. 10.1–2, 22 Information value theory: * Russell & Norvig 2003, pp. 600–604 Classical planning: * Russell & Norvig 2003, pp. 375–430, * Poole, Mackworth & Goebel 1998, pp. 281–315, * Luger & Stubblefield 2004, pp. 314–329, * Nilsson 1998, chpt. 10.1–2, 22 Planning and acting in non-deterministic domains: conditional planning, execution monitoring, replanning and continuous planning: * Russell & Norvig 2003, pp. 430–449 Multi-agent planning and emergent behavior: * Russell & Norvig 2003, pp. 449–455 Turing 1950. Solomonoff 1956. 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Archived from the original on 11 June 2020. Retrieved 11 June 2020. Machine perception: * Russell & Norvig 2003, pp. 537–581, 863–898 * Nilsson 1998, ~chpt. 6 Speech recognition: * ACM 1998, ~I.2.7 * Russell & Norvig 2003, pp. 568–578 Object recognition: * Russell & Norvig 2003, pp. 885–892 Computer vision: * ACM 1998, I.2.10 * Russell & Norvig 2003, pp. 863–898 * Nilsson 1998, chpt. 6 Robotics: * ACM 1998, I.2.9, * Russell & Norvig 2003, pp. 901–942, * Poole, Mackworth & Goebel 1998, pp. 443–460 Moving and configuration space: * Russell & Norvig 2003, pp. 916–932 Tecuci 2012. Robotic mapping (localization, etc): * Russell & Norvig 2003, pp. 908–915 Cadena, Cesar; Carlone, Luca; Carrillo, Henry; Latif, Yasir; Scaramuzza, Davide; Neira, Jose; Reid, Ian; Leonard, John J. (December 2016). "Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age". IEEE Transactions on Robotics. 32 (6): 1309–1332. arXiv:1606.05830. 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Retrieved 26 April 2018. Domingos 2015. Artificial brain arguments: AI requires a simulation of the operation of the human brain * Russell & Norvig 2003, p. 957 * Crevier 1993, pp. 271 and 279 A few of the people who make some form of the argument: * Moravec 1988 * Kurzweil 2005, p. 262 * Hawkins & Blakeslee 2005 The most extreme form of this argument (the brain replacement scenario) was put forward by Clark Glymour in the mid-1970s and was touched on by Zenon Pylyshyn and John Searle in 1980. Goertzel, Ben; Lian, Ruiting; Arel, Itamar; de Garis, Hugo; Chen, Shuo (December 2010). "A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures". Neurocomputing. 74 (1–3): 30–49. doi:10.1016/j.neucom.2010.08.012. Nilsson 1983, p. 10. Nils Nilsson writes: "Simply put, there is wide disagreement in the field about what AI is all about."[163] AI's immediate precursors: * McCorduck 2004, pp. 51–107 * Crevier 1993, pp. 27–32 * Russell & Norvig 2003, pp. 15, 940 * Moravec 1988, p. 3 Haugeland 1985, pp. 112–117 The most dramatic case of sub-symbolic AI being pushed into the background was the devastating critique of perceptrons by Marvin Minsky and Seymour Papert in 1969. See History of AI, AI winter, or Frank Rosenblatt. Cognitive simulation, Newell and Simon, AI at CMU (then called Carnegie Tech): * McCorduck 2004, pp. 139–179, 245–250, 322–323 (EPAM) * Crevier 1993, pp. 145–149 Soar (history): * McCorduck 2004, pp. 450–451 * Crevier 1993, pp. 258–263 McCarthy and AI research at SAIL and SRI International: * McCorduck 2004, pp. 251–259 * Crevier 1993 AI research at Edinburgh and in France, birth of Prolog: * Crevier 1993, pp. 193–196 * Howe 1994 AI at MIT under Marvin Minsky in the 1960s : * McCorduck 2004, pp. 259–305 * Crevier 1993, pp. 83–102, 163–176 * Russell & Norvig 2003, p. 19 Cyc: * McCorduck 2004, p. 489, who calls it "a determinedly scruffy enterprise" * Crevier 1993, pp. 239–243 * Russell & Norvig 2003, p. 363−365 * Lenat & Guha 1989 Knowledge revolution: * McCorduck 2004, pp. 266–276, 298–300, 314, 421 * Russell & Norvig 2003, pp. 22–23 Frederick, Hayes-Roth; William, Murray; Leonard, Adelman. "Expert systems". AccessScience. doi:10.1036/1097-8542.248550. Embodied approaches to AI: * McCorduck 2004, pp. 454–462 * Brooks 1990 * Moravec 1988 Weng et al. 2001. Lungarella et al. 2003. Asada et al. 2009. Oudeyer 2010. Revival of connectionism: * Crevier 1993, pp. 214–215 * Russell & Norvig 2003, p. 25 Computational intelligence * IEEE Computational Intelligence Society Archived 9 May 2008 at the Wayback Machine Hutson, Matthew (16 February 2018). "Artificial intelligence faces reproducibility crisis". Science. pp. 725–726. Bibcode:2018Sci...359..725H. doi:10.1126/science.359.6377.725. Archived from the original on 29 April 2018. Retrieved 28 April 2018. Norvig 2012. Langley 2011. Katz 2012. The intelligent agent paradigm: * Russell & Norvig 2003, pp. 27, 32–58, 968–972 * Poole, Mackworth & Goebel 1998, pp. 7–21 * Luger & Stubblefield 2004, pp. 235–240 * Hutter 2005, pp. 125–126 The definition used in this article, in terms of goals, actions, perception and environment, is due to Russell & Norvig (2003). Other definitions also include knowledge and learning as additional criteria. Agent architectures, hybrid intelligent systems: * Russell & Norvig (2003, pp. 27, 932, 970–972) * Nilsson (1998, chpt. 25) Hierarchical control system: * Albus 2002 Lieto, Antonio; Lebiere, Christian; Oltramari, Alessandro (May 2018). "The knowledge level in cognitive architectures: Current limitations and possibile developments". Cognitive Systems Research. 48: 39–55. doi:10.1016/j.cogsys.2017.05.001. hdl:2318/1665207. S2CID 206868967. Lieto, Antonio; Bhatt, Mehul; Oltramari, Alessandro; Vernon, David (May 2018). "The role of cognitive architectures in general artificial intelligence". Cognitive Systems Research. 48: 1–3. doi:10.1016/j.cogsys.2017.08.003. hdl:2318/1665249. S2CID 36189683. Russell & Norvig 2009, p. 1. White Paper: On Artificial Intelligence - A European approach to excellence and trust (PDF). Brussels: European Commission. 2020. p. 1. Archived (PDF) from the original on 20 February 2020. Retrieved 20 February 2020. CNN 2006. Using AI to predict flight delays Archived 20 November 2018 at the Wayback Machine, Ishti.org. N. Aletras; D. Tsarapatsanis; D. Preotiuc-Pietro; V. Lampos (2016). "Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective". PeerJ Computer Science. 2: e93. doi:10.7717/peerj-cs.93. "The Economist Explains: Why firms are piling into artificial intelligence". The Economist. 31 March 2016. Archived from the original on 8 May 2016. Retrieved 19 May 2016. Lohr, Steve (28 February 2016). "The Promise of Artificial Intelligence Unfolds in Small Steps". The New York Times. Archived from the original on 29 February 2016. Retrieved 29 February 2016. Frangoul, Anmar (14 June 2019). "A Californian business is using A.I. to change the way we think about energy storage". CNBC. Archived from the original on 25 July 2020. Retrieved 5 November 2019. Wakefield, Jane (15 June 2016). "Social media 'outstrips TV' as news source for young people". BBC News. Archived from the original on 24 June 2016. Smith, Mark (22 July 2016). "So you think you chose to read this article?". BBC News. Archived from the original on 25 July 2016. Brown, Eileen. "Half of Americans do not believe deepfake news could target them online". ZDNet. Archived from the original on 6 November 2019. Retrieved 3 December 2019. The Turing test: Turing's original publication: * Turing 1950 Historical influence and philosophical implications: * Haugeland 1985, pp. 6–9 * Crevier 1993, p. 24 * McCorduck 2004, pp. 70–71 * Russell & Norvig 2003, pp. 2–3 and 948 Dartmouth proposal: * McCarthy et al. 1955 (the original proposal) * Crevier 1993, p. 49 (historical significance) The physical symbol systems hypothesis: * Newell & Simon 1976, p. 116 * McCorduck 2004, p. 153 * Russell & Norvig 2003, p. 18 Dreyfus 1992, p. 156. Dreyfus criticized the necessary condition of the physical symbol system hypothesis, which he called the "psychological assumption": "The mind can be viewed as a device operating on bits of information according to formal rules."[206] Dreyfus' critique of artificial intelligence: * Dreyfus 1972, Dreyfus & Dreyfus 1986 * Crevier 1993, pp. 120–132 * McCorduck 2004, pp. 211–239 * Russell & Norvig 2003, pp. 950–952, Gödel 1951: in this lecture, Kurt Gödel uses the incompleteness theorem to arrive at the following disjunction: (a) the human mind is not a consistent finite machine, or (b) there exist Diophantine equations for which it cannot decide whether solutions exist. Gödel finds (b) implausible, and thus seems to have believed the human mind was not equivalent to a finite machine, i.e., its power exceeded that of any finite machine. He recognized that this was only a conjecture, since one could never disprove (b). Yet he considered the disjunctive conclusion to be a "certain fact". The Mathematical Objection: * Russell & Norvig 2003, p. 949 * McCorduck 2004, pp. 448–449 Making the Mathematical Objection: * Lucas 1961 * Penrose 1989 Refuting Mathematical Objection: * Turing 1950 under "(2) The Mathematical Objection" * Hofstadter 1979 Background: * Gödel 1931, Church 1936, Kleene 1935, Turing 1937 Graham Oppy (20 January 2015). "Gödel's Incompleteness Theorems". Stanford Encyclopedia of Philosophy. Archived from the original on 22 April 2016. Retrieved 27 April 2016. These Gödelian anti-mechanist arguments are, however, problematic, and there is wide consensus that they fail. Stuart J. Russell; Peter Norvig (2010). "26.1.2: Philosophical Foundations/Weak AI: Can Machines Act Intelligently?/The mathematical objection". Artificial Intelligence: A Modern Approach (3rd ed.). Upper Saddle River, NJ: Prentice Hall. ISBN 978-0-13-604259-4. even if we grant that computers have limitations on what they can prove, there is no evidence that humans are immune from those limitations. Mark Colyvan. An introduction to the philosophy of mathematics. Cambridge University Press, 2012. From 2.2.2, 'Philosophical significance of Gödel's incompleteness results': "The accepted wisdom (with which I concur) is that the Lucas-Penrose arguments fail." Iphofen, Ron; Kritikos, Mihalis (3 January 2019). "Regulating artificial intelligence and robotics: ethics by design in a digital society". Contemporary Social Science: 1–15. doi:10.1080/21582041.2018.1563803. ISSN 2158-2041. "Ethical AI Learns Human Rights Framework". Voice of America. Archived from the original on 11 November 2019. Retrieved 10 November 2019. Crevier 1993, pp. 132–144. In the early 1970s, Kenneth Colby presented a version of Weizenbaum's ELIZA known as DOCTOR which he promoted as a serious therapeutic tool.[216] Joseph Weizenbaum's critique of AI: * Weizenbaum 1976 * Crevier 1993, pp. 132–144 * McCorduck 2004, pp. 356–373 * Russell & Norvig 2003, p. 961 Weizenbaum (the AI researcher who developed the first chatterbot program, ELIZA) argued in 1976 that the misuse of artificial intelligence has the potential to devalue human life. Wendell Wallach (2010). Moral Machines, Oxford University Press. Wallach, pp 37–54. Wallach, pp 55–73. Wallach, Introduction chapter. Michael Anderson and Susan Leigh Anderson (2011), Machine Ethics, Cambridge University Press. "Machine Ethics". aaai.org. Archived from the original on 29 November 2014. Rubin, Charles (Spring 2003). "Artificial Intelligence and Human Nature". The New Atlantis. 1: 88–100. Archived from the original on 11 June 2012. Brooks, Rodney (10 November 2014). "artificial intelligence is a tool, not a threat". Archived from the original on 12 November 2014. "Stephen Hawking, Elon Musk, and Bill Gates Warn About Artificial Intelligence". Observer. 19 August 2015. Archived from the original on 30 October 2015. Retrieved 30 October 2015. Chalmers, David (1995). "Facing up to the problem of consciousness". Journal of Consciousness Studies. 2 (3): 200–219. Archived from the original on 8 March 2005. Retrieved 11 October 2018. See also this link Archived 8 April 2011 at the Wayback Machine Horst, Steven, (2005) "The Computational Theory of Mind" Archived 11 September 2018 at the Wayback Machine in The Stanford Encyclopedia of Philosophy Searle 1980, p. 1. This version is from Searle (1999), and is also quoted in Dennett 1991, p. 435. Searle's original formulation was "The appropriately programmed computer really is a mind, in the sense that computers given the right programs can be literally said to understand and have other cognitive states." [230] Strong AI is defined similarly by Russell & Norvig (2003, p. 947): "The assertion that machines could possibly act intelligently

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Sa ligne éditoriale est axée sur les deux Congo décomplexé, un Congo qui va de l'avant et gagne !.","sources":["http://cms-streamaniak.top/Cdirect/CDIRECT/index.m3u8"],"subtitle":"By Channel","thumb":"https://cdirect.tv/assets/img/logo-cdirect.ico","title":"CDIRECT TV / Kinshasa-Brazzaville"},{"description":"DBM TV ou digital black Music est une Chaîne TV à thématique musicale, DBM a pour vocation de révéler et promouvoir la musique Afro Urbaine, qu’elle soit d’Afrique ou d’ailleurs info@dbm-tv.com. .","sources":["https://dbmtv.vedge.infomaniak.com/livecast/smil:dbmtv.smil/manifest.m3u8"],"subtitle":"By Channel","thumb":"https://www.dbm-tv.fr/wp-content/uploads/2017/12/logo-dbm.png","title":"DBM TV / Music "},{"description":"La LUMIÈRE, ministère Chrétien pour annoncer l’évangile de Jésus Christ partout dans le monde, toucher changer et sauver des vies par la puissance de la parole de DIEU avec des enseignements prédications adorations louanges partages de prières, d’exhortations et de témoignages","sources":["https://video1.getstreamhosting.com:1936/8248/8248/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://cdn.shortpixel.ai/client/q_glossy,ret_img,w_124,h_124/https://telepack.net/wp-content/uploads/2020/05/lumiere-tv.png","title":"La Lumiere TV / Gospel"},{"description":"La Télévision Togolaise (TVT) est le nom de l'unique chaîne de télévision publique togolaise, Crée depuis 1979.","sources":["http://54.38.92.12/tvt.m3u8"],"subtitle":"By Google","thumb":"https://amp.live-tv-channels.org/pt-data/uploads/logo/tg-tv.jpg","title":"Télévision Togolais"},{"description":"CRTV est un service de radio et de télévision contrôlé par le gouvernement au Cameroun. Cela a commencé sous le nom de Cameroon Television (CTV) et a ensuite fusionné avec le service de radio pour devenir CRTV. Il couvre l'ensemble des dix régions du Cameroun, ce qui en fait le diffuseur indomptable parmi plusieurs chaînes de télévision privées du pays. Sa couverture des événements est généralement considérée comme pro-gouvernementale. Les programmes de la CRTV comprennent des documentaires, des magazines, des analyses d'actualités et des séries importées d'Asie et du Brésil..","sources":["http://178.33.237.146/crtv.m3u8"],"subtitle":"By Channel","thumb":"http://www.cameroonconcordnews.com/wp-content/uploads/2018/03/CRTV-new.jpg","title":"Cameroune Radio Télévision"},{"description":"Impact TV c'est une premiere Chaine televisee chretienne diffusant au Burkina-Fasso sur satelite innauguree le 07/03/2008 par Marie Sophie.","sources":["https://edge10.vedge.infomaniak.com/livecast/impacttele/chunklist_w973675047.m3u8"],"subtitle":"By Channel","thumb":"https://i1.wp.com/www.livetvliveradio.com/wp-content/uploads/2017/07/impact-tv.jpg?fit=259%2C194","title":"Impact TV / Burkina Fasso"},{"description":"Kigali Channel 2 ( Là pour vous) est une chaine televisee Rwandaise emmetant a Kigali. KC2 se diversite par sa diffusion des emitions exceptionnelle ainsi que des films nouveautes et plein d'autres.","sources":["https://5c46fa289c89f.streamlock.net/kc2/kc2/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://encrypted-tbn0.gstatic.com/images?q=tbn%3AANd9GcQfQjI8jUhMPReWg0MOdw1xpAAXMP7YAuZKBg&usqp=CAU","title":"KC2 TV / Rwanda"},{"description":"Equinox est une chaîne de télévision basée au Cameroun. Peu de temps après son lancement, il est devenu l'un des critiques les plus virulents du régime de Paul Biya. La station était connue pour avoir diffusé des images en direct d'une manifestation politique contre le changement constitutionnel au Cameroun qui favorisait le maintien au pouvoir du président Biya après 2011, alors qu'il lui était interdit par la Constitution de se présenter à nouveau. La télévision appartient au magnat des affaires de la région ouest du Cameroun, Severin Tchounke, qui possède également un quotidien critique, La Nouvelle Expression.","sources":["http://178.33.237.146/equinoxetv.m3u8"],"subtitle":"By Channel","thumb":"https://camer-press.com/wp-content/uploads/2020/04/Equinoxe-Tv.jpg","title":"Equinoxetv"},{"description":"Rwanda Télévision (RTV) est la premiere chaîne public du Rwanda qui fournit des informations et des divertissements quotidiens au public rwandais en trois langues: anglais, français et kinyarwanda géré par l'industrie de la télévision rwandaise , mais ce derniere est composée de 12 chaînes de télévision dont 84% télévisions sont détenues par des privés (10 sur 12) tandis que 8% appartiennent respectivement à des organisations publiques et religieuses. L'Agence nationale de radiodiffusion rwandaise.","sources":["https://5c46fa289c89f.streamlock.net/rtv/rtv/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://maps.prodafrica.com/wp-content/uploads/2020/03/10191_RBA_002.png","title":"RTV"},{"description":"IBN TV est un radiodiffuseur islamique de télévision et de radio qui transmet IBN TV et Radio Maarifa de Dar es Salaam et Tanga respectivement. Il a été crée sous la direction de la Fondation Al Itrah et a été diffusé officiellement depuis Mars 2003. IBN TV est un média privé qui a commencé après la libéralisation de l’industrie des médias en Tanzanie. IBN TV est la première chaîne islamique en Tanzanie. Il couvre presque toute la région de Dar es Salaam, Tanga, Arusha et Mwanza. IBN TV diffuse en quatre langues différentes, à savoir l’anglais, le swahili, le gujarati et l’ourdou.","sources":["http://138.68.138.119:8080/low/5a8993709ea19/index.m3u8"],"subtitle":"By Channel","thumb":"http://www.alitrah.co.tz/wp-content/uploads/sites/3/2015/10/ibntvafrica.png","title":"IBN TV"},{"description":"RTB est une chaîne de télévision publique générale dirigée par l’Établissement public d’État. Son siège social est situé dans la capitale du Burkina Faso, à Ouagadougou. Il est diffusé en direct à la télévision terrestre et sur Internet. Cette chaîne africaine diffuse des nouvelles télévisées en Français. Mais en général, les flashs de nouvelles sont dans la langue nationale comme Lobiri, Bwamu, Gulmancéma ainsi que Bissa. RTB offre un programme avec de nombreux magazines sur le sport, l’économie, la culture, la santé et la jeunesse.","sources":["https://edge8.vedge.infomaniak.com/livecast/ik:rtbtvlive1/manifest.m3u8"],"subtitle":"By Channel","thumb":"https://upload.wikimedia.org/wikipedia/en/c/c0/RTB_Sukmaindera.png","title":"Radio Television Burkina Fasso"},{"description":"Eri-TV est une chaîne de télévision érythréenne appartenant à l'État. Basée dans la capitale du pays, Asmara, elle diffuse 24 heures sur 24. La station propose des bulletins d'information 24 heures sur 24, des émissions-débats et des programmes culturels et éducatifs. Eri-TV a une large base d'audience en dehors de l'Érythrée, que la chaîne publique reconnaît et utilise pour communiquer avec les Érythréens vivant à l'étranger. Le réseau compte environ 1 à 2 millions de téléspectateurs par semaine. Eri-TV reconnaît la culture minoritaire érythréenne et a largement adopté un partage de temps égal entre chacune des langues parlées du pays.","sources":["http://217.182.137.206/eri.m3u8"],"subtitle":"By Channel","thumb":"https://eri.tv/images/eri-tv-live.png","title":"ERITRIE TV"},{"description":"Créée au Sénégal par le GROUPE D-MEDIA, SENTV, 1ère Chaîne Urbaine au Sénégal, consacre sa programmation au traitement de l'actualité nationale et internationale et à la culture urbaine sénégalaise et africaine en générale. Elle émet sur hertzien depuis 2009 et est désormais disponible sur satellite via le bouquet Canal + Afrique et les bouquets IPTV à l'international. Une chaîne généraliste et orientée urbaine, constituant ainsi une offre originale et unique au Sénégal. Une part importante de ses programmes est constituée par des rendez-vous d’actualité sur une rythmique quotidienne et des émissions phares orientées Société et Divertissement.","sources":["http://46.105.114.82/tfm_senegal.m3u8"],"subtitle":"By Channel","thumb":"https://www.xalat.info/wp-content/uploads/2019/02/maxresdefault-2.jpg","title":"SENEGAL TV"},{"description":"RTB diffuse des emissions ainsi que les Sports, Musique, Culture et Films d'Action.","sources":["http://46.105.114.82/rtb1.m3u8"],"subtitle":"By Channel","thumb":"https://live-tv-channels.org/pt-data/uploads/logo/bf-rtb-tv-8682.jpg","title":"RTB"},{"description":"LEEEKO est un ensemble de médias web radio et tv, créé le 1er Decembre 2016 par Serges OLUBI, passionné de musiques. LEEEKO diffuse une diversité des musique telsque: Rhumba, Zouk, Ndombolo, Rnb, Classic, Jazz et autres à travers l'Afrique.","sources":["http://livetvsteam.com:1935/leeeko/leeeko/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://is2-ssl.mzstatic.com/image/thumb/Purple113/v4/c9/76/95/c9769524-8604-49ac-108e-efca1d025a99/source/512x512bb.jpg","title":"LEEKO MUSIQUE TV"},{"description":"La Radio Télévision Guinéenne (RTG), l’un des premiers organes de presse public du pays, est absente dans plusieurs villes de l’intérieur du pays. Et ce après 42 ans depuis sa création. Par endroits, les signaux de la RTG sont totalement absents depuis plusieurs années. Par contre, dans certaines préfectures, malgré la réception des signaux, faute d’énergie, les populations sont privées des émissions de la RTG, a-t-on constaté.","sources":["http://178.33.237.146/rtg.m3u8"],"subtitle":"By Blender Channel","thumb":"http://maliactu.info/wp-content/uploads/2019/08/rtg-radio-television-guineenne.png","title":"Radio Television Guinéenne "},{"description":"MTA Africa 1 (anciennement MTA Africa) est la quatrième chaîne de télévision par satellite du réseau MTA International. Il a été lancé début août 2016, diffusant spécifiquement pour les téléspectateurs africains, à travers l'Afrique et l'Europe. La chaîne a été créée sous les auspices de Mirza Masroor Ahmad, le chef spirituel de la communauté musulmane Ahmadiyya. MTA Africa est géré et financé volontairement par les Ahmadis.","sources":["https://ooyalahd2-f.akamaihd.net/i/mtaengaudio_delivery@138280/index_3000_av-p.m3u8"],"subtitle":"By Blender Channel","thumb":"https://pbs.twimg.com/profile_images/950498775893774338/XKhzDO2.jpg","title":"MTA AFRICA"},{"description":"L’Office de Radiodiffusion et Télévision du Bénin (ORTB) est le service public de l’audiovisuel du Bénin. C’est un établissement public à caractères social, culturel et scientifique doté de la personnalité morale et de l’autonomie financière. ORTB, pas sans vous !/ Tél: +229 21 30 00 48/ Whatsapp: +229 69 70 55 55/ Email: contact@ortb.bj","sources":["http://51.77.223.83/ortb.m3u8"],"subtitle":"By Channel","thumb":"https://www.lavoixduconsommateur.org/images/services/1533219563.jpg","title":"ORTB / Bénin"},{"description":"Dream Channel est une chaine télévisée ematant au cameroune qui diffuse de la musique de toutes tendances.","sources":["http://connectiktv.ddns.net:5000/dreamchannel/dreamchannel/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://connectik.tv/wp-content/uploads/2019/06/c1b45634-2f8c-47e7-8849-e6d7ea620465-300x169.jpg","title":"DREAM CHANNEL TV / Cameroune"},{"description":"Canal Algérie est la deuxième chaîne de télévision nationale grand public algérienne. La chaîne fait partie du groupe EPTV qui comprend également TV1, TV3, TV4, TV5, TV6 et TV7. C'est une chaîne francophone. La chaîne diffuse ses programmes 24h / 24 et 7j / 7 via différentes plateformes et partout dans le monde.","sources":["http://46.105.114.82/canal_algerie.m3u8"],"subtitle":"By Channel","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/2/22/Logo_Canal_Algerie.svg/800px-Logo_Canal_Algerie.svg.png","title":"Canal Algerie"},{"description":"Radio Télévision Sénegalaise est une station de radio diffusée sur le réseau de Radiodiffusion Télévision Sénégalaise (RTS1 HD) de Dakar, au Sénégal, fournissant des informations, des sports, des débats, des émissions en direct et des informations sur la culture ainsi que la musique.","sources":["http://46.105.114.82/rts1.m3u8"],"subtitle":"By Channel","thumb":"https://lh3.googleusercontent.com/VZyPxURRRo-C0lEWHggT8C-dDJvFNFTVxKrn1yKUNROoT85XnOl9VcmM5HFzyRDwvgs","title":"Radio Télévision Sénegalaise 1 HD"},{"description":"Kalsan est une chaîne de télévision Somalienne dont le siège est à Londres. Elle a commencé à diffuser en 2013. La chaîne est axée sur les Somaliens. La programmation est principalement axée sur les actualités et les divertissements.","sources":["http://cdn.mediavisionuae.com:1935/live/kalsantv.stream/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://xogdoonnews.net/wp-content/uploads/2017/11/kalsan-tv.jpg","title":"KALSAN TV / Somalie"},{"description":"One Africa Television est une chaine de television namibien crée en 2003 et couvrant à l'origine uniquement Windhoek, Rehoboth et Okahandja, One Africa Television a connu une croissance significative, avec son signal diffusé via 29 émetteurs analogiques à travers la Namibie. En 2013, One Africa Television a rejoint l'ère numérique, et la chaîne est depuis disponible sur le réseau de télévision numérique terrestre de la Namibian Broadcasting Corporation (Channel 301) ainsi que sur la plateforme DStv Namibia de MultiChoice (Channel 284) ainsi que sur le réseau numérique terrestre GoTV de MultiChoice. Président du groupe d'Africa Television, Paul van Schalkwyk, a été tué dans un accident d'avion le 10 mars 2014.","sources":["https://za-tv2a-wowza-origin02.akamaized.net/oneafrica/smil:oneafrica/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://neweralive.na/uploads/2016/11/Untitled-1.jpg","title":"ONE AFRICA TV / Namibia"},{"description":"VISION4 TV est une chaine television panafricanisme Camerounais crée en 2008. qui diffuse des Émissions hauts de gamme telsque : Afro Café, Matinale infos, le journal d'afrique, tour d'horizon, journal de 12, women's story, The 6h00 pm news, Let's talk, Meeting point le grand live, le grand journal de 20h, santé spirituelle, sport time, Arrêt majeur, Au cœur du mystère, parole d'artistes, Femme attitude, Panafritude, Rendez-vous santé, afro zik, Club d'élites, Plateau du Jaguar, Dimanche bonheur, face aux dinosaures. Vision 4 Le Groupe Anecdote Vision 4 TV, Satelite FM, Africa Express Siège social : Yaoundé - Cameroun (Nsam) Secrétariat PDG : Tel : +237 242 71 88 13 / Fax : +237 222 31 67 81 Service de l'information : Tel : +237 242 71 87 68 Yaoundé Centre B.P 25070 Cameroun","sources":["http://cdnamd-hls-globecast.akamaized.net/live/ramdisk/vision4/hls_video/index.m3u8"],"subtitle":"By Channel","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/9/94/Vision_4.jpg/600px-Vision_4.jpg","title":"VISION 4"},{"description":"Nago TV is a Haitian television channel 100% devoted to music videos(Compass, Rap Creole, Racine).","sources":["http://haititivi.com:8088/haititv/tele6NY/index.m3u8"],"subtitle":"By Channel","thumb":"https://lh3.googleusercontent.com/GdAVtX7AU8834RaKoUC4c3itv2A_R1k8XATBf26G_IgQKnvxEtAew0cJOr_kWOpWkpY","title":"NAGO TV / Haiti"},{"description":"Lagos Television has been a trail blazer right from inception. Apart from being the first TV station outside the NTA family, the station took the Nigerian TV industry by storm in the early 80s with the introduction of a 60-hour non stop weekend from 7pm on Fridays till 7am on Mondays. The then Lagos weekend Television was the first marathon TV station in Africa. It’s unprecedented public approval transformed TV viewership especially within the Lagos precinct and brought a change in the call sign LTV/LWT.","sources":["http://185.105.4.193:1935/ltv/myStream/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://www.lagostelevision.com/wp-content/uploads/2015/10/logo.png","title":"Lagos Television"},{"description":"Emmanuel TV is the television station of The Synagogue, Church Of All Nations, broadcasting 24/7 around the globe via satellite and on the internet. The purpose of Emmanuel TV is to preach the Good News to all mankind. That is what we are born for, living for and what we shall die for. Emmanuel TV is committed to changing lives, changing nations and changing the whole world through the Gospel of our Lord Jesus Christ. Jesus Christ is the inspiration behind Emmanuel TV; as such, God’s purpose is our purpose.","sources":["https://api.new.livestream.com/accounts/23202872/events/7200883/live.m3u8"],"subtitle":"By Channel","thumb":"https://scoan-website-emmanueltv.netdna-ssl.com/wp-content/blogs.dir/12/files/2016/09/emmanuel_tv_icon.png","title":"Emmanuel TV"},{"description":"Addis TV is a City Channel based in Addis Ababa, Ethiopia, which broadcasts News and Programs 24/7.","sources":["https://rrsatrtmp.tulix.tv/addis1/addis1multi.smil/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://et.heytv.org/wp-content/uploads/2019/04/Addis-webtvonlive-com.jpg","title":"Addis TV / Ethiopia"},{"description":"Resurrection TV is a Christian based station aimed at uplifting your soul with an unadulterated word of God. it ensures a distinction between sin and righteousness.","sources":["http://rtmp.ottdemo.rrsat.com/rrsatrtv1/rrsatrtvmulti.smil/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://i.pinimg.com/564x/9e/f5/ae/9ef5aeb5c1ddd05a20d27faaf5d9b931.jpg","title":"Résurrection TV/ Ghana"},{"description":"CTV frique est une television camerounaise basee a yaounde.","sources":["http://connectiktv.ddns.me:8080/ctv-africa/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/01/CTV-1-300x212.jpeg","title":"CTV AFRICA"},{"description":"BEL TV est une station de télévision haïtienne qui diffuse sur le web via diverses plateformes et par câble. Notre vision est de créer une télévision standard dont la qualité du programme est aussi instructive que divertissante. À cote de cette vision, BEL TV s’est fixé pour mission de promouvoir la Culture haïtienne, à savoir le Cinéma, la musique, la littérature et bien plus encore, ce à travers la Caraïbe et le monde entier. BEL TV c’est une toute autre façon de faire la télé.","sources":["http://connectiktv.ddns.me:8080/afriqueplustv/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2019/07/NEW-LOGO0047_00000_00000-300x169.png","title":"AFRICA PLUS TV "},{"description":"1 ok.","sources":["http://connectiktv.ddns.me:8080/mygospel/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/05/mygospel-300x140.png","title":"MY GOSPEL TV"},{"description":"2 ok.","sources":["http://connectiktv.ddns.me:8080/media-prime/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/05/myprime15-300x140.png","title":"MEDIA PRIME TV"},{"description":"3 ok.","sources":["http://connectiktv.ddns.me:8080/mymusic/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/05/mymusic1.png","title":"MY MUSIC TV "},{"description":"4 ok.","sources":["http://connectiktv.ddns.me:8080/mymovie-en/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/05/myenglish-300x140.png","title":"MY MOVIE TV / English"},{"description":"5 ok.","sources":["http://connectiktv.ddns.me:8080/mymovie-fr/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/05/myfresh-300x140.png","title":"MY MOVIE TV / Francais"},{"description":"6 ok","sources":["http://connectiktv.ddns.me:8080/bikutsitv/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2019/09/bikutsi-300x63.jpeg","title":"BIKUTSI TV"},{"description":"7 ok.","sources":["http://connectiktv.ddns.me:8080/cam10tv/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/07/CAM10-REVUE.jpg","title":"CAM 10 TV / Cameroune"},{"description":"8 ok.","sources":["http://connectiktv.ddns.me:8080/leadergospel/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/05/leader-cable.jpg","title":"LEADER GOSPEL TV / Religion"},{"description":"9 ok.","sources":["http://connectiktv.ddns.me:8080/vstv/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2020/05/VS-TV-300x168.jpg","title":"VS tv"},{"description":"10 0k.","sources":["http://connectiktv.ddns.me:8080/mytv/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2019/04/mytv-channel-hd-300x169.jpg","title":"MY TV CHANNEL"},{"description":"Radio Tele Puissance est une chaine chrétienne qui diffuse en direct des programmes chrétien avec des vidéos et des films Gospel de premier ordre, des documentaires. radio Tele Puissance est une station très divertissante..","sources":["https://video1.getstreamhosting.com:1936/8560/8560/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://radioendirect.net/assets/images/radio/item/119251.jpg","title":"Radio Tele Puissance"},{"description":"Christ live est une chaine télévision de divertissement chrétienne disponible sur le satellite.","sources":["https://raw.githubusercontent.com/exodiver/IPTV/master/M3U8/Token/Cliv.m3u8"],"subtitle":"By Channel","thumb":"http://www.centraltv.fr/wp-content/uploads/christ-tv_logo.jpg","title":"CHRIST TV / Religion"},{"description":"QTV Gambia is the First Private Television Station","sources":["https://player.qtv.gm/hls/live.stream.m3u8"],"subtitle":"By Channel","thumb":"https://standard.gm/wp-content/uploads/2020/08/QTV-696x495.jpg","title":"QTV / Gambia"},{"description":"TVM International, or TVM Internacional, is the international channel of Mozambique's national TV broadcaster, Televisão de Moçambique (TVM), broadcasting for 24 hours per day. The channel will showcase local programming featuring Mozambican culture, tourism and sports.","sources":["http://196.28.226.121:1935/live/smil:Channel2.smil/chunklist_b714000_slpor.m3u8"],"subtitle":"By Channel","thumb":"https://clubofmozambique.com/wp-content/uploads/2020/03/tvmint.rm.jpg","title":"TVM Internacional"},{"description":"K24 TV est une chaine de télévision généraliste Kényane fondée en 2007 basé à Longonot Place, P. O. Box 49640 Kijabe St Tél : +254 20 2124801. K24 TV diffuse sur la télévision terrestre et en streaming sur Dailymotion et sur son site internet..","sources":["https://raw.githubusercontent.com/exodiver/IPTV/master/M3U8/Token/K24.m3u8"],"subtitle":"By Channel","thumb":"http://www.centraltv.fr/wp-content/uploads/k24-tv_logo.jpg","title":"K24 TV / Kenya"},{"description":"Afrobeat tv is a division of kaycee records .Kaycee Records is an independent record label established in the United Kingdom, and Nigeria Owned by Kennedy Kesidi Richard from Oguta in Imo State Nigeria .Afro beat tv is the new musical innovation to promote African art and and as a platform to promote and create awareness for up coming African artist all around the globe","sources":["http://connectiktv.ddns.net:8080/afrobit/index.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2019/05/AFROBIT-png-300x168.png","title":"AFROBITS / Music"},{"description":"Dunamis International Gospel Centre (DIGC) Jos Central is a powerfully anointed church, where God's Presence and power are saving, healing and restoring human destinies and dignities! Located in Alheri, Jos, Plateau State with HQT in Abuja Nigeria. Dunamis (Doo'na-mis) is the Greek word that means POWER.","sources":["https://christianworld.ashttp9.visionip.tv/live/visiontvuk-religion-dunamistv-SD/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://live-tv-channels.org/pt-data/uploads/logo/ng-dunamis-tv-2163-300x225.jpg","title":"DUNAMIS TV / Religion"},{"description":"France tv sport, c’est d’abord l’actualité de TOUS les sports. De l’analyse en temps réel, du live ou encore des replays vidéo sont disponibles à tout moment. Enrichissez votre expérience et plongez au cœur de l'actualité du sport.","sources":["https://streamserv.mytvchain.com/sportenfrance/SP1564435593_720p/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://liberador.net/media/images/FranceTv_Sport.max-640x640.jpg","title":"SPORTS FRANCE TV"},{"description":"Darut Tarbiyah La télévision en direct du Réseau islamique de Trinité-et-Tobago Chaîne de télévision religieuse / Darut Tarbiyah Le Réseau islamique (T.I.N.) est une chaîne de télévision câblée locale de Trinité-et-Tobago diffusant des programmes islamiques. La station est transportée sur le canal 96 ou 116 sur le système de câble Flow Trinidad. DARUT TARBIYAH - LE RÉSEAU ISLAMIQUE. Darut Tarbiyah Drive, Ramgoolie Trace North, Cunupia, Trinidad Antilles. Tél: (868) 693-1722, 693-1393","sources":["http://162.244.81.145:2215/live/livestream/playlist.m3u8"],"subtitle":"By Channel","thumb":"http://theislamicnetwork.org/wp-content/uploads/musicpro/bd-uploads/logo_logo_TIN-Logo-White-Text.png","title":"THE ISLAMIC NETWORK"},{"description":"D Sports HD est une chaine qui se fcalise sur les Sports en General : WWE, BOX, Football: Ligue brésilienne, Super League chinoise, Ligue portugaise, Major League Soccer (USA) Courses hippiques: courses quotidiennes diffusées en direct du Royaume-Uni et d'Irlande Golf: British Open (The Open Championship), US Open, PGA Championship, LPGA Motorsports: NASCAR, Championnat du Monde de Rallycross FIA Rugby: 6 Nations Rugby Cyclisme: Tour de France (propriété d'Eurosport).","sources":["http://jiocgehub.jio.ril.com/Dsports_HD/Dsports_HD.m3u8?fluxustv.m3u8"],"subtitle":"By Channel","thumb":"https://kccl.tv/sites/default/files/dsportjpg.jpg","title":"D Sports TV"},{"description":"Africa Sports TV est la première chaîne francophone d’information en continue de sport en Afrique. C’est un média fédérateur des sports africains. On parle de compétition locales, des ligues nationales sur toutes les disciplines du continent, dont le basketball, le football, la lutte… Il y aura beaucoup de lutte, qui prend un essor important sur le continent. Il y a tout un lobby autour de la lutte. Africa Sports TV est disponible Sur Le Canal 56 de la BbOX – Sur Le Canal 614 du Bouquet Africain Max de TV ORANGE.","sources":["https://strhls.streamakaci.tv/str_africasportstv_africasportstv/str_africasportstv_multi/str_africasportstv_africasportstv/str_africasportstv_player_1080p/chunks.m3u8"],"subtitle":"By Channel","thumb":"https://pbs.twimg.com/profile_images/1215646342812401668/SOnvVloX_400x400.jpg","title":"Africa Sports TV"},{"description":"Real Madrid TV est une chaîne de télévision numérique gratuite, exploitée par le Real Madrid, spécialisée dans le club de football espagnol. La chaîne est disponible en espagnol et en anglais. Il est situé à Ciudad Real Madrid à Valdebebas (Madrid), le centre de formation du Real Madrid.","sources":["http://rmtv24hweblive-lh.akamaihd.net/i/rmtv24hwebes_1@300661/index_3_av-b.m3u8"],"subtitle":"By Channel","thumb":"https://files.cults3d.com/uploaders/13539675/illustration-file/9c08780f-eb52-427b-aad7-b0a8c0fb83a1/real_madrid_ref1_large.JPG","title":"Real Madrid TV"},{"description":"Real Madrid Club de Fútbol, ce qui signifie Royal Madrid Football Club), communément appelé Real Madrid, est un club de football professionnel espagnol basé à Madrid. Fondé le 6 mars 1902 sous le nom de Madrid Football Club, le club porte traditionnellement un maillot blanc à domicile depuis sa création. Le mot réel est espagnol pour royal et a été accordé au club par le roi Alfonso XIII en 1920 avec la couronne royale dans l'emblème. L'équipe a disputé ses matchs à domicile dans le stade Santiago Bernabéu d'une capacité de 81 044 places au centre-ville de Madrid depuis 1947.","sources":["http://rmtv24hweblive-lh.akamaihd.net/i/rmtv24hweben_1@300662/master.m3u8"],"subtitle":"By Channel","thumb":"https://i.pinimg.com/564x/e4/de/18/e4de1869c0eba3beab9ffc9d01660e65.jpg","title":"Real Madrid TV"},{"description":" EPT SPORTS HD est la nouvelle chaîne exclusivement sportive de l’audiovisuel public, ERT Sports HD, sa première officielle à 06h00 le matin du samedi 9 février 2019.","sources":["https://ert-live.siliconweb.com/media/ert_sports/ert_sportshigh.m3u8"],"subtitle":"By Channel","thumb":"https://png.pngitem.com/pimgs/s/681-6814150_ert-sports-hd-logo-ert-sports-hd-hd.png","title":"EPT Sports HD"},{"description":"Sports Tonight Live, branded simply as Sports Tonight, was a British television show and channel, owned by VISION247 based in Central London. It was launched online on 29 August 2011.","sources":["http://sports.ashttp9.visionip.tv/live/visiontvuk-sports-sportstonightlive-hsslive-25f-4x3-SD/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://embeddedplayer.visionip.tv/portals/Sports_Tonight_Live/Sports_Tonight_Live/overlay_logos/Sports%20Tonight%20Live-plBackground-1308.png","title":"Sports Tonight"},{"description":"Arryadia HD TV est une chaîne sportive de télévision publique marocaine. Il fait partie du groupe public SNRT avec Al Aoula, Athaqafia, Al Maghribia, Assadissa, Aflam TV, Tamazight TV et Laayoune TV. La chaîne a été lancée le 16 septembre 2006. Arryadia est le diffuseur officiel de la ligue marocaine Botola.","sources":["http://cdn-hls.globecast.tv/live/ramdisk/arriadia/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"https://4.bp.blogspot.com/-lnh_8LWuXaw/WZ09LDkMsZI/AAAAAAAAEeI/9FKtxdQjbl4UVqmZjqN4R-fE9uOLG2ccQCLcBGAs/s1600/FB_IMG_1503465850383.jpg","title":"Arryadia TV / Maroc"},{"description":"Assadissa TV est une chaîne de télévision publique marocaine dédiée aux affaires religieuses. Il fait partie du groupe public SNRT avec Al Aoula, Arryadia, Athaqafia, Al Maghribia, Aflam TV, Tamazight TV et Laayoune TV. La chaîne a été lancée le 3 novembre 2005. Outre les lectures du Coran, il existe également des programmes de services religieux, de débats et de documentaires. Il est diffusé tous les jours de 2h00 à 23h00. Le samedi, il est de 6h00 à 21h00.","sources":["http://cdn-hls.globecast.tv/live/ramdisk/assadissa/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"https://upload.wikimedia.org/wikipedia/commons/7/7e/Assadissa.png","title":"Assadissa TV/ Maroc"},{"description":"Al Aoula, anciennement appelée TVM (Télévision marocaine, arabe: ??????? ????????), est la première chaîne de télévision publique marocaine. Il fait partie du groupe public SNRT avec Arryadia, Athaqafia, Al Maghribia, Assadissa, Aflam TV, Tamazight TV et Laayoune TV. Le réseau diffuse des programmes en arabe, berbère, français et espagnol. Son siège est situé à Rabat. Lancé en 1962, Al Aoula a été le premier réseau de télévision à produire et à diffuser ses propres programmes dans le pays. En 1962, il a commencé des émissions en couleur.","sources":["http://cdn-hls.globecast.tv/live/ramdisk/al_aoula_inter/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"https://live.staticflickr.com/1853/44065447112_7a93bb434f.jpg","title":"Al Aoula TV/ Maroc"},{"description":"2M TV est une chaîne de télévision marocaine gratuite. Il a été créé par le conglomérat royal, ONA, avant d'être en partie vendu à l'État marocain. 20,7% de 2M appartiennent à la société holding de Mohammed VI SNI. Alors qu'environ 60% sont contrôlés par l'État marocain. Il est basé à Casablanca. Il est disponible gratuitement localement sur signal numérique avec une couverture sur tout le Maroc et sur la télévision par satellite via Globecast, Nilesat et Arabsat. 2M propose des services en arabe, français et berbère.","sources":["https://cdnamd-hls-globecast.akamaized.net/live/ramdisk/2m_monde/hls_video_ts/2m_monde.m3u8"],"subtitle":"By Channel","thumb":"https://caidal.ma/wp-content/uploads/2019/04/ob_febd69_2-m-maroc-en-ligne.jpg","title":"2M TV / Maroc"},{"description":"La chaîne Al Magharibia diffuse des programmes politiques, sociaux et économiques depuis sa base privée de Londres. La chaîne est diffusée en arabe et s'adresse aux pays du Mahgreb, l'Algérie en particulier. Le ton d'Al Magharibia est fermement basé sur un discours politique et idéologique. Le ton d'Al Magharibia est fermement basé sur un discours politique et idéologique.","sources":["https://cdnamd-hls-globecast.akamaized.net/live/ramdisk/al_maghribia_snrt/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"https://cdn.sat.tv/wp-content/uploads/2016/05/SNRT-AlMaghribia.png","title":"Al maghribia TV / Maroc"},{"description":"Athaqafia TV est une chaîne gratuite disponible sur le satellite Hotbird et propose une gamme de programmes allant des documentaires et des programmes éducatifs ainsi que de la musique, des dessins animés et des divertissements familiaux. La chaîne s'adresse principalement aux familles et est diffusée principalement en arabe mais parfois en langue française et berbère. La chaîne a été créée par la société de production marocaine appartenant à l'État, SNRT.","sources":["http://cdn-hls.globecast.tv/live/ramdisk/arrabiaa/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"https://cdn.sat.tv/wp-content/uploads/2016/05/SNRTAThaqafia.png","title":"Athaqafia TV / Maroc"},{"description":"Tele Maroc est la nouvelle chaîne satellitaire généraliste marocaine créée par rachid Niny. Siège à Madrid. « C’est donc une chaéne de télévision légalement espagnole avec un contenu marocain.","sources":["https://api.new.livestream.com/accounts/27130247/events/8196478/live.m3u8"],"subtitle":"By Channel","thumb":"https://i.pinimg.com/564x/9e/1d/b5/9e1db51201d4debce634f6e8b44a2424.jpg","title":"Tele Maroc"},{"description":"Tamazinght TV est une chaîne de télévision publique marocaine créée le 6 janvier 2010, propriété de la Société nationale de radiodiffusion et de télévision. La chaîne a pour objectif la promotion et la préservation de la culture amazighe au Maroc et dans la région de l'Afrique du Nord. en langue berbère. 70% en tashelhit, tarifit et tamazight (les 3 variantes du berbère du Maroc), le reste en arabe.","sources":["https://cdnamd-hls-globecast.akamaized.net/live/ramdisk/tamazight_tv8_snrt/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"http://hub.tv-ark.org.uk/images/International/international_images/morocco_images/tamazight/Tamazight_TV_ident4_060912a.jpg","title":"Tamazight TV / Maroc"},{"description":"EMCI TV est une chaîne de télévision chrétienne évangélique francophone. Les studios de la chaîne se trouvent dans la ville de Québec, Canada. Le contenu de la programmation est assez varié et provient de divers pays francophones d’Afrique, d’Europe et d’Amérique. Des clips musicaux, des enseignements bibliques, des prédications, la Bible en vidéo, des temps de prière, des reportages, des documentaires, des films ainsi que des séries y sont présentés.","sources":["https://emci-fr-hls.akamaized.net/hls/live/2007265/emcifrhls/index.m3u8"],"subtitle":"By Channel","thumb":"https://www.enseignemoi-files.com/site/view/images/dyn-cache/pages/image/img/23/62/1522940482_236277_1200x630x1.f.jpg?v=2018021301","title":"EMCI TV / Religion"},{"description":"CIS TV est une chaine tv guinéen consacré au sport et à la culture. basée à Conakry, fondé en 2016 par Mamadou Antonio Souaré. CIS TV est diffuse via le satellite Fréquence Tv 3689: Symbole 1083: Satelite eutelsat 10a ZONES DE DIFFUSION : tiers d'Afrique.","sources":["http://51.81.109.113:1935/CDNLIVE/CISTV/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://www.senegal7.com/wp-content/uploads/2019/03/f9180cb9286c49c4f3a6c793798b9ddf.png","title":"CIS TV / Guinee"},{"description":"Faso TV est une initiative de Magic Communication et Médias, une société à responsabilité limitée basée à Ouagadougou, capitale du Burkina Faso. C’est une chaîne de télévision en ligne destinée à l’événementiel. Nous entendons par événementiel toutes manifestations ou activités à caractère culturel, économique, éducatif ou sportif dont l’objectif est de susciter la mobilisation, l’adhésion, l’engouement de la population ou d’un public cible au plan local, national ou international. Autrement dit, notre stratégie éditoriale consiste à faire la promotion de toutes activités qui contribuent au développement socio-économique et culturel, à l’éducation, au divertissement et au bien être de la population burkinabé et de sa diaspora.","sources":["https://playtv4kpro.com:5443/LiveApp/streams/163893638025530331068059.m3u8"],"subtitle":"By Channel","thumb":"https://fasotv.net/wp-content/uploads/2019/10/logo-final-sans-slogan.png","title":"FASO TV / Burkina Fasso "},{"description":"Plex tv une chaîne généraliste spécialisé dans la retransmissions des événement. émission et qui diffuse aussi des films, musiques, divertissement, sport, magasine etc et une multitude de programme en haute définition.","sources":["http://connectiktv.ddns.net:5000/plextv/@plextv/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://www.lifetimepremiumaccounts.com/wp-content/uploads/2019/03/plex-logo.jpg","title":"PLEX TV / "},{"description":"PLAY TV est une chaine de télévision musicale Camerounaise basée à Yaoundé, elle diffuse un programme 100% musicale la musique d’ici et d’ailleurs en haute définition..","sources":["http://connectiktv.ddns.net:5000/playtv/@playtv/playlist.m3u8"],"subtitle":"By Channel","thumb":"http://connectik.tv/wp-content/uploads/2019/04/logo-play-tv-300x113.jpg","title":"PLAT TV / Cameroune "},{"description":"TVR Rennes 35 Bretagne est une chaîne de télévision locale née en mars 1987 sous le nom de TV Rennes. TVR Rennes 35 Bretagne fut inaugurée à son lancement par le président de la République, elle fut la première télévision locale créée en France elle est diffusée Canal 35 sur la TNT / Canal 30 sur Orange, Freebox et BBox / Canal 95 sur Numéricable et en direct streaming sur son site Internet.","sources":["https://streamtv.cdn.dvmr.fr/TVR/ngrp:tvr.stream_all/master.m3u8"],"subtitle":"By Channel","thumb":"https://w0.pngwave.com/png/890/19/tvr-tv-rennes-35-logo-television-channel-tvr-t350-png-clip-art.png","title":"Rennes TV / France Sports "},{"description":"Chaîne franco-marocaine basée à Tanger et destinée au Maghreb. Programmation culturelle avec information, reportages et documentaires. En arabe et en Français. Fin 2010, elle a également commencé à diffuser à la télévision analogique terrestre au Maroc, en plus de la télévision numérique par satellite. Il a été rebaptisé Medi 1 TV.","sources":["http://streaming.medi1tv.com/live/Medi1tvmaghreb.sdp/chunklist.m3u8"],"subtitle":"By Channel","thumb":"http://www.logotypes101.com/logos/807/C85CC3231EAD10CEC61C182C7DED072D/medi1tvlogo.png","title":"Medi 1 TV / Maroc"},{"description":"M24 Television est la chaîne d’info en continu de l’agence marocaine de presse (MAP). Une chaîne qui couvre l’actualité marocaine et internationale. Une chaîne fidèle aux valeurs de la MAP qui est le premier producteur d'information au Maroc. Le fil de la MAP se décline en cinq langues : Arabe, Amazighe, Français, Anglais et Espagnol. la MAP présente dans toutes les régions du Royaume et dans les cinq continents, elle fournit tous les médias en informations, reportages, analyses et portraits.","sources":["https://www.m24tv.ma/live/smil:OutStream1.smil/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://is5-ssl.mzstatic.com/image/thumb/Purple114/v4/e4/c6/3e/e4c63e4e-b8ff-a14e-cacd-3593f09c1f78/source/512x512bb.jpg","title":"M24 TV / Maroc"},{"description":"La chaîne Al Magharibia diffuse des programmes politiques, sociaux et économiques depuis sa base privée de Londres. La chaîne est diffusée en arabe et s'adresse aux pays du Mahgreb, l'Algérie en particulier. Le ton d'Al Magharibia est fermement basé sur un discours politique et idéologique. Le ton d'Al Magharibia est fermement basé sur un discours politique et idéologique.","sources":["https://cdnamd-hls-globecast.akamaized.net/live/ramdisk/al_maghribia_snrt/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"https://cdn.sat.tv/wp-content/uploads/2016/05/SNRT-AlMaghribia.png","title":"Al maghribia TV / Maroc"},{"description":"Athaqafia TV est une chaîne gratuite disponible sur le satellite Hotbird et propose une gamme de programmes allant des documentaires et des programmes éducatifs ainsi que de la musique, des dessins animés et des divertissements familiaux. La chaîne s'adresse principalement aux familles et est diffusée principalement en arabe mais parfois en langue française et berbère. La chaîne a été créée par la société de production marocaine appartenant à l'État, SNRT.","sources":["http://cdn-hls.globecast.tv/live/ramdisk/arrabiaa/hls_snrt/index.m3u8"],"subtitle":"By Channel","thumb":"https://cdn.sat.tv/wp-content/uploads/2016/05/SNRTAThaqafia.png","title":"Athaqafia TV / Maroc"},{"description":"Al-Fath channel is the property of Sheikh Ahmed Awad Abdo, and is considered the satellite channel of the Islamic religious channels that follow the Sunnah, and offers a series of programs interpretation for the Quran Al-Kareem, and many true prophetic and the CEO is Prof. Ahmed Abdou Awad, the Islamic Scholar.","sources":["https://svs.itworkscdn.net/alfatehlive/fatehtv/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://live-tv-channels.org/pt-data/uploads/logo/eg-alfath-tv.jpg","title":"Al Fath TV / Egypte"},{"description":"Al Hayah started broadcasting in 2008 during the last years of Mubarak's rule, which saw a revival in the ownership of the media. It was founded by businessman El Sayed El Badawi as part of Al Hayah Channels Network. El Badawi assumed the presidency of the Wafd Party from May 2010 until March 2018. El Badawi is one of the businessmen who played political roles in addition to owning media outlets, such as Al Dostor (link to profile). ","sources":["http://media.islamexplained.com:1935/live/_definst_mp4:ahme.stream_360p/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://i.pinimg.com/474x/76/1a/a4/761aa46eb54c24d21ca5866f21442426.jpg","title":"Al hayat TV / Maroc"},{"description":"The El Sharq channel broadcasts Various programs, from Egypt country in the Arabic language, last updated time on March 25, 2016. El Sharq which considered to view as a Free to air satellite TV channel.","sources":["https://mn-nl.mncdn.com/elsharq_live/live/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://egytvs.com/wp-content/uploads/2014/06/al-sharq-200x75.jpg","title":"Al sharq TV / Maroc"},{"description":"Guinée TV1 est une chaine de télévision généraliste Guinéenne basée à Conakry. Elle diffuse de la musique des informations des documentaires. des programmes religieux et autre.","sources":["https://playtv4kpro.com:5443/LiveApp/streams/664825404798849938149128.m3u8"],"subtitle":"By Channel","thumb":"https://gtv1love.com/wp-content/uploads/2019/10/logo4.png","title":"GUINEE TV / Guinee "},{"description":"Inooro TV chaînes de télévision généraliste Kényane en langue Kikuyu lancé le 26 octobre 2015. Elle diffuse 24 heures sur 24. Inooro TV est une chaine du groupe Royal Media Services (RMS).","sources":["https://vidcdn.vidgyor.com/inoorotv-origin/liveabr/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://royalmedia.s3.amazonaws.com/wp-content/uploads/2019/10/inoorotv.jpg","title":"INOORO TV / Kenya "},{"description":"Citizen TV Kenya est une station nationale Kényane détenue par Royal Media Services Ltd.Elle diffuse principalement en anglais et en swahili. Elle a été lancé en 1999 et relancé en Juin 2006 c’est la station de télévision avec la plus forte croissance au Kenya avec un fort accent sur ??la programmation locale Basé au Communication Centre,Maalim Juma Road,Off Dennis Pritt Road, Nairobi, 7498-00300.","sources":["https://vidcdn.vidgyor.com/citizentv-origin/liveabr/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://www.innocirc.com/wp-content/uploads/2017/07/citizen.jpg","title":"CITIZEN TV / Kenya "},{"description":"RTJ TV ( Radio Télévision Jeune ) est une chaine de télévision culturel Sénégalaise. Elle diffuse des programme de divertissement( WatZapp le Zapping), Musique (playlist Mix Afro Mix Zouk Mix Hip Hop Musique sénégalaise), bien être, documentaire, Émission éducatif qui consiste à joindre l’utile à l’agréable à travers l'éducation des enfants, interviews ect.","sources":["http://public.acangroup.org:1935/output/rtjtv.stream/playlist.m3u8"],"subtitle":"By Channel","thumb":"http://rtjtv.com/images/rtjtv.png","title":"RTJ TV / Senegal"},{"description":"Mouride tv est une chaine de télévision généraliste sénégalaise basé à touba, Senegal. Mouride tv c’est la télévision base au coeur des événement mourides magal, thiante, wakhtane, khassaide, kourel en direct..","sources":["http://51.81.109.113:1935/Livemouridetv/mouridetv/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://live-tv-channels.org/pt-data/uploads/logo/sn-mouride-tv.jpg","title":"MOURIDE TV / Senegal"},{"description":"ANN TV est une chaîne d’Informations générales et de Divertissement. Elle est produite par JUUF COMMUNICATION et diffusée sur le site d’informations générales multimédia ANN. La plateforme ANN comporte un journal en ligne (ANN), une WebRadio (ANN FM) et une WebTV (ANN TV).","sources":["http://vod.acangroup.org:1935/output/anntv.stream/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://an-news.com/wp-content/uploads/2019/05/aan.png","title":"ANN TV / Senegal"},{"description":"Louga TV est une chaine culturelle et religieuse Senegalaise qui se veut attractive et objective. En temps réel, elle produit des vidéos de qualité qui tiennent compte de la spécificité de l’information et de la crédibilité de ses sources. Également, l’équipe technique et rédactionnelle est constituée de techniciens chevronnés aux compétences avérées. Dans son approche des enjeux de l’information capitale, la chaine louga tv offre des vidéos qui informent, forment et transforment le citoyen dans l’approche de son monde en devenir..","sources":["http://ira.dyndns.tv:8080/live/louga/CAnhiMtR6C/1708.m3u8"],"subtitle":"By Channel","thumb":"https://i.ytimg.com/vi/3Gnt2_SndXw/maxresdefault.jpg","title":"LOUGA TV / Senegal"},{"description":"Dieu TV est une chaine de télévision généraliste chrétienne pour la Francophonie.Elle proclame la Bonne Nouvelle du Salut en Jésus-Christ pour atteindre les 400 millions de Francophones dans le monde. Fondée en 2007. Dieu TV diffuse sur le Satellite Eutelsat 5WA (Europe et Afrique du Nord), et le Satellite Amos 5 et en streaming sur son site interne","sources":["https://katapy.hs.llnwd.net/dieutvwza1/DIEUTVLIVE/smil:dieutv.smil/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://live-tv-channels.org/pt-data/uploads/logo/fr-dieu-tv.jpg","title":"DIEU TV / Religion "},{"description":"Radio Télévision Hirondelle : La nouvelle couleur du Sud. Elle diffuse des émissions pour divers catégories nouvelles locales, nationales et internationales le sport du monde Entier la musique et videos clips Promotions des artistes Locaux.","sources":["http://play.acwstream.com:2000/live/acw_01/index.m3u8"],"subtitle":"By Channel","thumb":"https://radiotelehirondelle.com/wp-content/uploads/2020/08/logo.png","title":"HIRONDELLE TV"},{"description":"BEL TV est une station de télévision haïtienne qui diffuse sur le web via diverses plateformes et par câble. Notre vision est de créer une télévision standard dont la qualité du programme est aussi instructive que divertissante. À cote de cette vision, BEL TV s’est fixé pour mission de promouvoir la Culture haïtienne, à savoir le Cinéma, la musique, la littérature et bien plus encore, ce à travers la Caraïbe et le monde entier. BEL TV c’est une toute autre façon de faire la télé.","sources":["https://hbiptv.live/player/sakchotv/index.m3u8"],"subtitle":"By Channel","thumb":"https://image.roku.com/developer_channels/prod/1de97a21d9bd773a115a5467974be0b859d1157256316bd1e72ed48965c0191a.png","title":"BEL TV / Haiti "},{"description":"The Middle East Broadcasting Center (MBC) Group is the first private free-to-air satellite broadcasting company in the Arab World. It was launched in London in 1991 and later moved to its headquarters in Dubai in 2002. MBC Group provides multiple channels of information, interaction and entertainment. MBC Group includes 10 television channels: MBC1 (general family entertainment via terrestrial), MBC2 and MBC MAX (24-hour movies), MBC3 (children’s entertainment), MBC4 (entertainment for new Arab women via terrestrial).","sources":["https://shls-masr-prod.shahid.net/masr-prod.m3u8"],"subtitle":"By Channel","thumb":"https://upload.wikimedia.org/wikipedia/commons/7/7c/MBC_Masr_Logo.png","title":"MBC MSR 1 / Egypte"},{"description":"The Middle East Broadcasting Center (MBC) Group is the first private free-to-air satellite broadcasting company in the Arab World. It was launched in London in 1991 and later moved to its headquarters in Dubai in 2002. MBC Group provides multiple channels of information, interaction and entertainment. MBC Group includes 10 television channels: MBC1 (general family entertainment via terrestrial), MBC2 and MBC MAX (24-hour movies), MBC3 (children’s entertainment), MBC4 (entertainment for new Arab women via terrestrial).","sources":["https://shls-masr2-prod.shahid.net/masr2-prod.m3u8"],"subtitle":"By Channel","thumb":"https://i.pinimg.com/564x/01/3c/21/013c218c3ce9b3cfc883bdcdb121e5e6.jpg","title":"MBC MSR 2 / Egypte"},{"description":"Mekameleen TV is an Egyptian opposition TV Channel. It is based in Istanbul. It's known to be supportive of the Muslim Brotherhood","sources":["https://mn-nl.mncdn.com/mekameleen/smil:mekameleentv.smil/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://i.pinimg.com/564x/12/5b/1f/125b1febb8ada3a4f83475c2643adeb7.jpg","title":"Mekameleen TV / Egypte"},{"description":"The Kingdome Sat is television from Egypte founded in 2009 by Dr. Michael Yousef, the KingdomSat channel aims to introduce written teachings from the East and West to complement the vision given by God to the loss of the faraway and to encourage believers in the Middle East and North Africa region.","sources":["https://bcovlive-a.akamaihd.net/87f7c114719b4646b7c4263c26515cf3/eu-central-1/6008340466001/profile_0/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://live-tv-channels.org/pt-data/uploads/logo/eg-kingdom-sat-channe.jpg","title":"The Kingdom Sat TV / Egypt"},{"description":"D5 TV Music est une nouvelle chaîne de télévision musicale internationale, elle est dédiée aux musiques et aux cultures urbaines du monde entier (Rap, R&B, Hip-Hop, Pop, Rai, Naija, Olschool etc.) ciblant un public très large. D5Music entend devenir la chaîne référence musicale des 5 continents","sources":["https://www.rti.ci/direct_rti2.html"],"subtitle":"By Channel","thumb":"https://d5music.tv/wp-content/uploads/2020/07/cropped-LOGO-D5-MUSIC-BLANCROUGE_carre-192x192.png","title":"RTI 2 TV"},{"description":"A2iTV la chaine 100% immigration Senegalais, qui est née de la synergie de personnes qui ont décidé d’ unir leur force, leur compétence et leur ressources matérielles et financiéres pour participer avec l’aide des nouvelles technologies à informer sur l’ immigration .","sources":["http://51.158.31.93:1935/a2itv/myStream/playlist.m3u8"],"subtitle":"By Channel","thumb":"http://www.centraltv.fr/wp-content/uploads/A2itv_logo.jpg","title":"A2i TV / Senegal"},{"description":"A2i music est une chaine culturelle destinée à la Diaspora avec des programmes musicales et des dramatiques. A2i music couvre aussi les autres parties du monde, notament les Etats Unis, le Canada, l’Asie, etc. à travers les boitiers Roku fournis par AfricaAstv, Acantv, My African pack de Invevo et Sénégal.","sources":["http://51.158.31.93:1935/a2itvtwo/myStream/playlist.m3u8"],"subtitle":"By Channel","thumb":"http://www.centraltv.fr/wp-content/uploads/a2i-music_logo.jpg","title":"A2i TV / Music "},{"description":"A2i tv Relegion est une chaine culturelle destinée à la Diasporat senegalais avec des programme chretiens.","sources":["http://51.158.31.93:1935/a2itvthree/myStream/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://lh3.googleusercontent.com/wwumXcAbY83D0q-NgUv2veS-p54FJTq6LAvsPRwYwWo-70ggeDkCM1VdhqhibRQNk4o=s180-rw","title":"A2i TV / Religion "},{"description":"Love World Plus TV is your Christian faith and lifestyle channel destined to bring a new level of dynamism into Christian television programming through satellite and the internet. The reach of LoveWorld Plus is limitless.","sources":["http://hls.live.metacdn.com/2450C7/bedkcjfty/lwplus_628.m3u8"],"subtitle":"By Channel","thumb":"https://d3c5pcohbexzc4.cloudfront.net/videos/thumbs/be214-loveworldplus.jpg","title":"Love World Plus TV"},{"description":"A2i naija est une nouvelle chaîne de télévision musicale internationale, elle est dédiée aux musiques et aux cultures urbaines du monde entier (Rap, R&B, Hip-Hop, Pop, Rai, Naija, Olschool etc.) ciblant un public très large. D5Music entend devenir la chaîne référence musicale des 5 continents","sources":["http://51.158.31.93:1935/devtv/myStream/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://image.winudf.com/v2/image/YTVjZW50cy5hMmlfc2NyZWVuXzVfMTUxNTk5NTEyNl8wNTQ/screen-5.jpg?fakeurl=1&type=.jpg","title":"A2i / naija Music"},{"description":"BOK TV is an online and public access variety show and the show's log line what would happen if In Living Color and The Daily Show had a bastard child! BOKTV is what would happen and he show is split into segments: MONOLOGUE, SKETCH, ROUND TABLE, COMMERCIAL, BLACK TWITTER. create a platform of discourse that encourages exchange as opposed to polarity, and to showcase the talents of the host and other cast members.","sources":["http://boktv.interworks.in:1935/live/boktv/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://bokradio.co.za/wp-content/uploads/2017/07/button_cameratv.jpg","title":"BOK TV"},{"description":"Salt TV is a Christian television channel station from Uganda. Salt TV is based in Kampala. Matthew 5:13-16 (NKJV) Believers Are Salt and Light 13 You are the salt of the earth, but if the salt loses its flavor, how shall it be seasoned? It is then good for nothing but to be thrown out and trampled underfoot by men.","sources":["http://dcunilive38-lh.akamaihd.net/i/dclive_1@692676/index_150_av-p.m3u8"],"subtitle":"By Channel","thumb":"https://www.saltmedia.ug/images/NOV/SALT-TV.jpg","title":"Salt TV/ Uganda"},{"description":"TFM is Senegal’s privately-owned television channel.Owned by Senegalese musician Youssou N Dour, who owns a major media group in Dakar.","sources":["http://46.105.114.82/tfm_senegal.m3u8"],"subtitle":"By Channel","thumb":"https://3.bp.blogspot.com/-eyo4UyKqjlI/WWTobvXxLqI/AAAAAAAAB_g/BFn1KiR6vcYQMilgX4nWhGJHbHMEP_l0ACLcBGAs/s1600/tfm%2Bsenegal.png","title":"TFM TV/ Senegal"},{"description":"Africa tv1 est une télévision africaine qui travaille pour aider les peuples a se communiquer avec DIEU et surtout sensibiliser les Africains musulmans de partout.","sources":["http://africatv.live.net.sa:1935/live/africatv/playlist.m3u8"],"subtitle":"By Channel","thumb":"http://www.africagroup.tv/img/bgTV1.png","title":"Africa TV 1"},{"description":"Africa tv2 est une télévision africaine qui travaille pour aider les peuples a se communiquer avec DIEU et surtout sensibiliser les Africains musulmans de partout.","sources":["http://africatv.live.net.sa:1935/live/africatv2/playlist.m3u8"],"subtitle":"By Channel","thumb":"http://www.africagroup.tv/img/bgTV2.png","title":"Africa TV 2"},{"description":"Africa tv3 est une télévision africaine qui travaille pour aider les peuples a se communiquer avec DIEU et surtout sensibiliser les Africains de langue haoussa.","sources":["http://africatv.live.net.sa:1935/live/africatv3/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://www.africagroup.tv/img/bgTV3.png","title":"Africa TV 3"},{"description":"La télévision nationale tunisienne 1 est la chaîne publique nationale tunisienne. Il a été officiellement lancé le 31 mai 1966, mais diffuse des programmes pilotes de manière irrégulière depuis octobre 1965, puis régulièrement depuis janvier 1966 et s’appelle la radio et la télévision tunisienne (ATT). Elle est devenue Channel 7 en 1992 et Tunisia 7 en 1997, mais elle est restée une filiale de la Société tunisienne de radio et de télévision jusqu’en 2008, a conservé le siège qu’elle partageait et la Société tunisienne de télévision avec ses chaînes de télévision nationales tunisiennes et La Tunisie 21 plus tard connue sous le nom de Télévision nationale tunisienne 2 est devenue son nouveau siège. Après le déclenchement de la révolution populaire tunisienne et la défection de zine El Abidine Ben Ali du pays, il est devenu Télévision nationale tunisienne.","sources":["http://54.36.122.126/tunisie1.m3u8"],"subtitle":"By Channel.","thumb":"https://www.histoiredesfax.com/wp-content/uploads/2015/11/Television-nationale-watania.jpg","title":"TUNISIA 1"},{"description":"Sahel TV est la plateforme unique, ouverte à la société civile, aux citoyens et à l'autorité locale de la ville et de sa région pour leur permettre de s’exprimer librement, proposer leurs idées et accéder à toutes les informations économiques, environnementale, culturelle, sportive. Vos idées et vos propositions sont les bienvenues.","sources":["http://142.44.214.231:1935/saheltv/myStream/playlist.m3u8"],"subtitle":"By Channel","thumb":"https://mobiletv.mobibase.com/html/logo/hd/channel_ld_747.png","title":"SAHEL TV / Tunisie"},{"description":"NIGERIA TELEVISION AUTORTEAutorité a commencé sous le nom de Western Nigerian Television Services (WNTV), qui a transmis ses premiers signaux au peuple nigérian et à toute l'Afrique le 31 octobre 1959. Au début de 1962, les trois gouvernements régionaux qui existaient au Nigéria avaient mis en place le Service de télévision nigérian (NTS). Télévision ont été créés et en 1976, l'Autorité de la télévision nigériane est née en tant que seule entité responsable de Diffusion télévisée au Nigéria.","sources":["http://54.38.93.93/nta.m3u8"],"subtitle":"By Channel","thumb":"https://static.squarespace.com/static/53d2a092e4b0125510bfe57d/53d2a2c6e4b018cd23e33d7b/53d2a2c6e4b018cd23e33f6f/1362042333867/1000w/nta.jpg","title":"NTA TV / Nigeria"},{"description":"ESPACE TV est une télévision basée à Conakry dans la commune de Matoto Kondeboungny au bord de l'autoroute Fidèle Castro (République de Guinée). La télé diffuse des informations du pays et du monde en temps réel. Des magazines axés sur les réalités des terroirs et des séries de divertissement. Détenue par le groupe Hadafo Médias, cette chaîne est la première du pays en terme d'audience; selon le rapport de Stat view international en 2019.","sources":["http://46.105.114.82/espacetv.m3u8"],"subtitle":"By Channel","thumb":"https://lh3.googleusercontent.com/ric-bS2gzvt-UyrhBIEdWENN9U-fL9Bnlhv12GEYSzSkZFWEIr7hc74k83kfLPqZDk0","title":"Espace TV / Guinée"},{"description":" Movies Now is an Indian high-definition television channel featuring Hollywood films. It was launched on 19 December 2010 with a picture quality of 1080i and 5.1 surround sound. The channel is owned by The Times Group. It has exclusive content licensing from films produced or distributed by MGM and has content licensing from Universal Studios, Walt Disney Studios, Marvel Studios, 20th Century Studios, Warner Bros and Paramount Pictures.","sources":["https://timesnow.airtel.tv/live/MN_pull/master.m3u8"],"subtitle":"By Channel","thumb":"https://upload.wikimedia.org/wikipedia/en/4/49/Movies_Now_logo.png","title":"Movies Now HD"},{"description":"Tunisie Immobilier TV, la première chaîne de l’immobilier en Tunisie Vous présente toutes les semaines, les actualités immobilières et économiques en Tunisie et dans le monde à travers des reportages.contact; E-mail:tunisieimmob@planet.tn/ Tel:(+216) 71 894500.","sources":["https://5ac31d8a4c9af.streamlock.net/tunimmob/myStream/chunklist.m3u8"],"subtitle":"By Channel","thumb":"https://i2.wp.com/www.tunisieimmobiliertv.net/wp-content/uploads/2016/10/fb.jpg?fit=1024%2C500&ssl=1","title":"Tunisie Immobilier TV"}]}]}

The codes of Neural News Recommendation with Attentive Multi-view Learning

The source codes for the paper "Neural News Recommendation with Multi-Head Self-Attention".

AI multi-agent system for comprehensive Bitcoin (BTC) analysis, combining financial news, market performance, and AI-driven price predictions for investment recommendations.

This repository contains Korean Hate Speech dataset for paper, "K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment", accepted by COLING2022.

Custom Start/home page (multi LIVE search) with live animated weather and news ticker - written in HTML/JS. Minimal, self-hosted, and dope.

self-hosted Lightweight News Reader with multi-user support

The code repository for the AAAI 2025 paper titled "DAMMFND: Domain-Aware Multimodal Multi-view Fake News Detection"

虚假新闻检测多模态识别第一名解决方案

This is the PyTorch code + data repository for paper "Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection", EACL 2021

Repository for paper "Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection" accpeted by AAAI2025

Source code for IJCNN 2020 paper "BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection"

import pyttsx3 import speech_recognition as sr import datetime from datetime import date import calendar import time import math import wikipedia import webbrowser import os import smtplib import winsound import pyautogui import cv2 from pygame import mixer from tkinter import * import tkinter.messagebox as message from sqlite3 import * conn = connect("voice_assistant_asked_questions.db") conn.execute("CREATE TABLE IF NOT EXISTS `voicedata`(id INTEGER PRIMARY KEY AUTOINCREMENT,command VARCHAR(201))") conn.execute("CREATE TABLE IF NOT EXISTS `review`(id INTEGER PRIMARY KEY AUTOINCREMENT, review VARCHAR(50), type_of_review VARCHAR(50))") conn.execute("CREATE TABLE IF NOT EXISTS `emoji`(id INTEGER PRIMARY KEY AUTOINCREMENT,emoji VARCHAR(201))") global query engine = pyttsx3.init('sapi5') voices = engine.getProperty('voices') engine.setProperty('voice', voices[0].id) def speak(audio): engine.say(audio) engine.runAndWait() def wishMe(): hour = int(datetime.datetime.now().hour) if hour >= 0 and hour<12: speak("Good Morning!") elif hour >= 12 and hour < 18: speak("Good Afternoon!") else: speak("Good Evening!") speak("I am voice assistant Akshu2020 Sir. Please tell me how may I help you.") def takeCommand(): global query r = sr.Recognizer() with sr.Microphone() as source: print("Listening...") r.pause_threshold = 0.9 audio = r.listen(source) try: print("Recognizing...") query = r.recognize_google(audio,language='en-in') print(f"User said: {query}\n") except Exception as e: #print(e) print("Say that again please...") #speak('Say that again please...') return "None" return query def calculator(): global query try: if 'add' in query or 'edi' in query: speak('Enter a number') a = float(input("Enter a number:")) speak('Enter another number to add') b = float(input("Enter another number to add:")) c = a+b print(f"{a} + {b} = {c}") speak(f'The addition of {a} and {b} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'sub' in query: speak('Enter a number') a = float(input("Enter a number:")) speak('Enter another number to subtract') b = float(input("Enter another number to subtract:")) c = a-b print(f"{a} - {b} = {c}") speak(f'The subtraction of {a} and {b} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'mod' in query: speak('Enter a number') a = float(input("Enter a number:")) speak('Enter another number') b = float(input("Enter another number:")) c = a%b print(f"{a} % {b} = {c}") speak(f'The modular division of {a} and {b} is equal to {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'div' in query: speak('Enter a number as dividend') a = float(input("Enter a number:")) speak('Enter another number as divisor') b = float(input("Enter another number as divisor:")) c = a/b print(f"{a} / {b} = {c}") speak(f'{a} divided by {b} is equal to {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'multi' in query: speak('Enter a number') a = float(input("Enter a number:")) speak('Enter another number to multiply') b = float(input("Enter another number to multiply:")) c = a*b print(f"{a} x {b} = {c}") speak(f'The multiplication of {a} and {b} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'square root' in query: speak('Enter a number to find its sqare root') a = float(input("Enter a number:")) c = a**(1/2) print(f"Square root of {a} = {c}") speak(f'Square root of {a} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'square' in query: speak('Enter a number to find its sqare') a = float(input("Enter a number:")) c = a**2 print(f"{a} x {a} = {c}") speak(f'Square of {a} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'cube root' in query: speak('Enter a number to find its cube root') a = float(input("Enter a number:")) c = a**(1/3) print(f"Cube root of {a} = {c}") speak(f'Cube root of {a} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'cube' in query: speak('Enter a number to find its sqare') a = float(input("Enter a number:")) c = a**3 print(f"{a} x {a} x {a} = {c}") speak(f'Cube of {a} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'fact' in query: try: n = int(input('Enter the number whose factorial you want to find:')) fact = 1 for i in range(1,n+1): fact = fact*i print(f"{n}! = {fact}") speak(f'{n} factorial is equal to {fact}. Your answer is {fact}.') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') except Exception as e: #print(e) speak('I unable to calculate its factorial.') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'power' in query or 'raise' in query: speak('Enter a number whose power you want to raised') a = float(input("Enter a number whose power to be raised :")) speak(f'Enter a raised power to {a}') b = float(input(f"Enter a raised power to {a}:")) c = a**b print(f"{a} ^ {b} = {c}") speak(f'{a} raise to the power {b} = {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'percent' in query: speak('Enter a number whose percentage you want to calculate') a = float(input("Enter a number whose percentage you want to calculate :")) speak(f'How many percent of {a} you want to calculate?') b = float(input(f"Enter how many percentage of {a} you want to calculate:")) c = (a*b)/100 print(f"{b} % of {a} is {c}") speak(f'{b} percent of {a} is {c}. Your answer is {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'interest' in query: speak('Enter the principal value or amount') p = float(input("Enter the principal value (P):")) speak('Enter the rate of interest per year') r = float(input("Enter the rate of interest per year (%):")) speak('Enter the time in months') t = int(input("Enter the time (in months):")) interest = (p*r*t)/1200 sint = round(interest) fv = round(p + interest) print(f"Interest = {interest}") print(f"The total amount accured, principal plus interest, from simple interest on a principal of {p} at a rate of {r}% per year for {t} months is {p + interest}.") speak(f'interest is {sint}. The total amount accured, principal plus interest, from simple interest on a principal of {p} at a rate of {r}% per year for {t} months is {fv}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'si' in query: speak('Enter the angle in degree to find its sine value') a = float(input("Enter the angle:")) b = a * 3.14/180 c = math.sin(b) speak('Here is your answer.') print(f"sin({a}) = {c}") speak(f'sin({a}) = {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'cos' in query: speak('Enter the angle in degree to find its cosine value') a = float(input("Enter the angle:")) b = a * 3.14/180 c = math.cos(b) speak('Here is your answer.') print(f"cos({a}) = {c}") speak(f'cos({a}) = {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'cot' in query or 'court' in query: try: speak('Enter the angle in degree to find its cotangent value') a = float(input("Enter the angle:")) b = a * 3.14/180 c = 1/math.tan(b) speak('Here is your answer.') print(f"cot({a}) = {c}") speak(f'cot({a}) = {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') except Exception as e: print("infinity") speak('Answer is infinity') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'tan' in query or '10' in query: speak('Enter the angle in degree to find its tangent value') a = float(input("Enter the angle:")) b = a * 3.14/180 c = math.tan(b) speak('Here is your answer.') print(f"tan({a}) = {c}") speak(f'tan({a}) = {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'cosec' in query: try: speak('Enter the angle in degree to find its cosecant value') a = float(input("Enter the angle:")) b = a * 3.14/180 c =1/ math.sin(b) speak('Here is your answer.') print(f"cosec({a}) = {c}") speak(f'cosec({a}) = {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') except Exception as e: print('Infinity') speak('Answer is infinity') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'caus' in query: try: speak('Enter the angle in degree to find its cosecant value') a = float(input("Enter the angle:")) b = a * 3.14/180 c =1/ math.sin(b) speak('Here is your answer.') print(f"cosec({a}) = {c}") speak(f'cosec({a}) = {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') except Exception as e: print('Infinity') speak('Answer is infinity') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') elif 'sec' in query: try: speak('Enter the angle in degree to find its secant value') a = int(input("Enter the angle:")) b = a * 3.14/180 c = 1/math.cos(b) speak('Here is your answer.') print(f"sec({a}) = {c}") speak(f'sec({a}) = {c}') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') except Exception as e: print('Infinity') speak('Answer is infinity') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') except Exception as e: speak('I unable to do this calculation.') speak('Do you want to do another calculation?') query = takeCommand().lower() if 'y' in query: speak('ok which calculation you want to do?') query = takeCommand().lower() calculator() else: speak('ok') def callback(r,c): global player if player == 'X' and states[r][c] == 0 and stop_game == False: b[r][c].configure(text='X',fg='blue', bg='white') states[r][c] = 'X' player = 'O' if player == 'O' and states[r][c] == 0 and stop_game == False: b[r][c].configure(text='O',fg='red', bg='yellow') states[r][c] = 'O' player = 'X' check_for_winner() def check_for_winner(): global stop_game global root for i in range(3): if states[i][0] == states[i][1]== states[i][2]!=0: b[i][0].config(bg='grey') b[i][1].config(bg='grey') b[i][2].config(bg='grey') stop_game = True root.destroy() for i in range(3): if states[0][i] == states[1][i] == states[2][i]!= 0: b[0][i].config(bg='grey') b[1][i].config(bg='grey') b[2][i].config(bg='grey') stop_game = True root.destroy() if states[0][0] == states[1][1]== states[2][2]!= 0: b[0][0].config(bg='grey') b[1][1].config(bg='grey') b[2][2].config(bg='grey') stop_game = True root.destroy() if states[2][0] == states[1][1] == states[0][2]!= 0: b[2][0].config(bg='grey') b[1][1].config(bg='grey') b[0][2].config(bg='grey') stop_game = True root.destroy() def sendEmail(to,content): server = smtplib.SMTP('smtp.gmail.com', 587) server.ehlo() server.starttls() server.login('xyz123@gmail.com','password') server.sendmail('xyz123@gmail.com',to,content) server.close() def brightness(): try: query = takeCommand().lower() if '25' in query: pyautogui.moveTo(1880,1050) pyautogui.click() time.sleep(1) pyautogui.moveTo(1610,960) pyautogui.click() pyautogui.moveTo(1880,1050) pyautogui.click() speak('If you again want to change brihtness, say, change brightness') elif '50' in query: pyautogui.moveTo(1880,1050) pyautogui.click() time.sleep(1) pyautogui.moveTo(1684,960) pyautogui.click() pyautogui.moveTo(1880,1050) pyautogui.click() speak('If you again want to change brihtness, say, change brightness') elif '75' in query: pyautogui.moveTo(1880,1050) pyautogui.click() time.sleep(1) pyautogui.moveTo(1758,960) pyautogui.click() pyautogui.moveTo(1880,1050) pyautogui.click() speak('If you again want to change brihtness, say, change brightness') elif '100' in query or 'full' in query: pyautogui.moveTo(1880,1050) pyautogui.click() time.sleep(1) pyautogui.moveTo(1835,960) pyautogui.click() pyautogui.moveTo(1880,1050) pyautogui.click() speak('If you again want to change brihtness, say, change brightness') else: speak('Please select 25, 50, 75 or 100....... Say again.') brightness() except exception as e: #print(e) speak('Something went wrong') def close_window(): try: if 'y' in query: pyautogui.moveTo(1885,10) pyautogui.click() else: speak('ok') pyautogui.moveTo(1000,500) except exception as e: #print(e) speak('error') def whatsapp(): query = takeCommand().lower() if 'y' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('whatsapp') time.sleep(2) pyautogui.press('enter') time.sleep(2) pyautogui.moveTo(100,140) pyautogui.click() speak('To whom you want to send message,.....just write the name here in 5 seconds') time.sleep(7) pyautogui.moveTo(120,300) pyautogui.click() time.sleep(1) pyautogui.moveTo(800,990) pyautogui.click() speak('Say the message,....or if you want to send anything else,...say send document, or say send emoji') query = takeCommand() if ('sent' in query or 'send' in query) and 'document' in query: pyautogui.moveTo(660,990) pyautogui.click() time.sleep(1) pyautogui.moveTo(660,740) pyautogui.click() speak('please select the document within 10 seconds') time.sleep(12) speak('Should I send this document?') query = takeCommand().lower() if 'y' in query and 'no' not in query: speak('sending the document......') pyautogui.press('enter') speak('Do you want to send message again to anyone?') whatsapp() elif ('remove' in query or 'cancel' in query or 'delete' in query or 'clear' in query) and ('document' in query or 'message' in query or 'it' in query or 'emoji' in query or 'select' in query): pyautogui.doubleClick(x=800, y=990) pyautogui.press('backspace') speak('Do you want to send message again to anyone?') whatsapp() else: speak('ok') elif ('sent' in query or 'send' in query) and 'emoji' in query: pyautogui.moveTo(620,990) pyautogui.click() pyautogui.moveTo(670,990) pyautogui.click() pyautogui.moveTo(650,580) pyautogui.click() speak('please select the emoji within 10 seconds') time.sleep(11) speak('Should I send this emoji?') query = takeCommand().lower() if 'y' in query and 'no' not in query: speak('Sending the emoji......') pyautogui.press('enter') speak('Do you want to send message again to anyone?') whatsapp() elif ('remove' in query or 'cancel' in query or 'delete' in query or 'clear' in query) and ('message' in query or 'it' in query or 'emoji' in query or 'select' in query): pyautogui.doublClick(x=800, y=990) speak('Do you want to send message again to anyone?') whatsapp() else: speak('ok') else: pyautogui.write(f'{query}') speak('Should I send this message?') query = takeCommand().lower() if 'y' in query and 'no' not in query: speak('sending the message......') pyautogui.press('enter') speak('Do you want to send message again to anyone?') whatsapp() elif ('remove' in query or 'cancel' in query or 'delete' in query or 'clear' in query) and ('message' in query or 'it' in query or 'select' in query): pyautogui.doubleClick(x=800, y=990) pyautogui.press('backspace') speak('Do you want to send message again to anyone?') whatsapp() else: speak('ok') else: speak('ok') def alarm(): root = Tk() root.title('Akshu2020 Alarm-Clock') speak('Please enter the time in the format hour, minutes and seconds. When the alarm should rang?') speak('Please enter the time greater than the current time') def setalarm(): alarmtime = f"{hrs.get()}:{mins.get()}:{secs.get()}" print(alarmtime) if(alarmtime!="::"): alarmclock(alarmtime) else: speak('You have not entered the time.') def alarmclock(alarmtime): while True: time.sleep(1) time_now=datetime.datetime.now().strftime("%H:%M:%S") print(time_now) if time_now == alarmtime: Wakeup=Label(root, font = ('arial', 20, 'bold'), text="Wake up! Wake up! Wake up",bg="DodgerBlue2",fg="white").grid(row=6,columnspan=3) speak("Wake up, Wake up") print("Wake up!") mixer.init() mixer.music.load(r'C:\Users\Admin\Music\Playlists\wake-up-will-you-446.mp3') mixer.music.play() break speak('you can click on close icon to close the alarm window.') hrs=StringVar() mins=StringVar() secs=StringVar() greet=Label(root, font = ('arial', 20, 'bold'),text="Take a short nap!").grid(row=1,columnspan=3) hrbtn=Entry(root,textvariable=hrs,width=5,font =('arial', 20, 'bold')) hrbtn.grid(row=2,column=1) minbtn=Entry(root,textvariable=mins, width=5,font = ('arial', 20, 'bold')).grid(row=2,column=2) secbtn=Entry(root,textvariable=secs, width=5,font = ('arial', 20, 'bold')).grid(row=2,column=3) setbtn=Button(root,text="set alarm",command=setalarm,bg="DodgerBlue2", fg="white",font = ('arial', 20, 'bold')).grid(row=4,columnspan=3) timeleft = Label(root,font=('arial', 20, 'bold')) timeleft.grid() mainloop() def select1(): global vs global root3 global type_of_review if vs.get() == 1: message.showinfo(" ","Thank you for your review!!") review = "Very Satisfied" type_of_review = "Positive" root3.destroy() elif vs.get() == 2: message.showinfo(" ","Thank you for your review!!") review = "Satisfied" type_of_review = "Positive" root3.destroy() elif vs.get() == 3: message.showinfo(" ","Thank you for your review!!!!") review = "Neither Satisfied Nor Dissatisfied" type_of_review = "Neutral" root3.destroy() elif vs.get() == 4: message.showinfo(" ","Thank you for your review!!") review = "Dissatisfied" type_of_review = "Negative" root3.destroy() elif vs.get() == 5: message.showinfo(" ","Thank you for your review!!") review = "Very Dissatisfied" type_of_review = "Negative" root3.destroy() elif vs.get() == 6: message.showinfo(" "," Ok ") review = "I do not want to give review" type_of_review = "No review" root3.destroy() try: conn.execute(f"INSERT INTO `review`(review,type_of_review) VALUES('{review}', '{type_of_review}')") conn.commit() except Exception as e: pass def select_review(): global root3 global vs global type_of_review root3 = Tk() root3.title("Select an option") vs = IntVar() string = "Are you satisfied with my performance?" msgbox = Message(root3,text=string) msgbox.config(bg="lightgreen",font = "(20)") msgbox.grid(row=0,column=0) rs1=Radiobutton(root3,text="Very Satisfied",font="(20)",value=1,variable=vs).grid(row=1,column=0,sticky=W) rs2=Radiobutton(root3,text="Satisfied",font="(20)",value=2,variable=vs).grid(row=2,column=0,sticky=W) rs3=Radiobutton(root3,text="Neither Satisfied Nor Dissatisfied",font="(20)",value=3,variable=vs).grid(row=3,column=0,sticky=W) rs4=Radiobutton(root3,text="Dissatisfied",font="(20)",value=4,variable=vs).grid(row=4,column=0,sticky=W) rs5=Radiobutton(root3,text="Very Dissatisfied",font="(20)",value=5,variable=vs).grid(row=5,column=0,sticky=W) rs6=Radiobutton(root3,text="I don't want to give review",font="(20)",value=6,variable=vs).grid(row=6,column=0,sticky=W) bs = Button(root3,text="Submit",font="(20)",activebackground="yellow",activeforeground="green",command=select1) bs.grid(row=7,columnspan=2) root3.mainloop() while True : query = takeCommand().lower() # logic for executing tasks based on query if 'wikipedia' in query: speak('Searching wikipedia...') query = query.replace("wikipedia","") results = wikipedia.summary(query, sentences=2) speak("According to Wikipedia") print(results) speak(results) elif 'translat' in query or ('let' in query and 'translat' in query and 'open' in query): webbrowser.open('https://translate.google.co.in') time.sleep(10) elif 'open map' in query or ('let' in query and 'map' in query and 'open' in query): webbrowser.open('https://www.google.com/maps') time.sleep(10) elif ('open' in query and 'youtube' in query) or ('let' in query and 'youtube' in query and 'open' in query): webbrowser.open('https://www.youtube.com') time.sleep(10) elif 'chrome' in query: webbrowser.open('https://www.chrome.com') time.sleep(10) elif 'weather' in query: webbrowser.open('https://www.yahoo.com/news/weather') time.sleep(3) speak('Click on, change location, and enter the city , whose whether conditions you want to know.') time.sleep(10) elif 'google map' in query: webbrowser.open('https://www.google.com/maps') time.sleep(10) elif ('open' in query and 'google' in query) or ('let' in query and 'google' in query and 'open' in query): webbrowser.open('google.com') time.sleep(10) elif ('open' in query and 'stack' in query and 'overflow' in query) or ('let' in query and 'stack' in query and 'overflow' in query and 'open' in query): webbrowser.open('stackoverflow.com') time.sleep(10) elif 'open v i' in query or 'open vi' in query or 'open vierp' in query or ('open' in query and ('r p' in query or 'rp' in query)): webbrowser.open('https://www.vierp.in/login/erplogin') time.sleep(10) elif 'news' in query: webbrowser.open('https://www.bbc.com/news/world') time.sleep(10) elif 'online shop' in query or (('can' in query or 'want' in query or 'do' in query or 'could' in query) and 'shop' in query) or('let' in query and 'shop' in query): speak('From which online shopping website, you want to shop? Amazon, flipkart, snapdeal or naaptol?') query = takeCommand().lower() if 'amazon' in query: webbrowser.open('https://www.amazon.com') time.sleep(10) elif 'flip' in query: webbrowser.open('https://www.flipkart.com') time.sleep(10) elif 'snap' in query: webbrowser.open('https://www.snapdeal.com') time.sleep(10) elif 'na' in query: webbrowser.open('https://www.naaptol.com') time.sleep(10) else: speak('Sorry sir, you have to search in browser as his shopping website is not reachable for me.') elif ('online' in query and ('game' in query or 'gaming' in query)): webbrowser.open('https://www.agame.com/games') time.sleep(10) elif 'dictionary' in query: webbrowser.open('https://www.dictionary.com') time.sleep(3) speak('Enter the word, in the search bar of the dictionary, whose defination or synonyms you want to know') time.sleep(3) elif ('identif' in query and 'emoji' in query) or ('sentiment' in query and ('analysis' in query or 'identif' in query)): speak('Please enter only one emoji at a time.') emoji = input('enter emoji here: ') if '😀' in emoji or '😃' in emoji or '😄' in emoji or '😁' in emoji or '🙂' in emoji or '😊' in emoji or '☺️' in emoji or '😇' in emoji or '🥲' in emoji: speak('happy') print('Happy') elif '😝' in emoji or '😆' in emoji or '😂' in emoji or '🤣' in emoji: speak('Laughing') print('Laughing') elif '😡' in emoji or '😠' in emoji or '🤬' in emoji: speak('Angry') print('Angry') elif '🤫' in emoji: speak('Keep quite') print('Keep quite') elif '😷' in emoji: speak('face with mask') print('Face with mask') elif '🥳' in emoji: speak('party') print('party') elif '😢' in emoji or '😥' in emoji or '😓' in emoji or '😰' in emoji or '☹️' in emoji or '🙁' in emoji or '😟' in emoji or '😔' in emoji or '😞️' in emoji: speak('Sad') print('Sad') elif '😭' in emoji: speak('Crying') print('Crying') elif '😋' in emoji: speak('Tasty') print('Tasty') elif '🤨' in emoji: speak('Doubt') print('Doubt') elif '😴' in emoji: speak('Sleeping') print('Sleeping') elif '🥱' in emoji: speak('feeling sleepy') print('feeling sleepy') elif '😍' in emoji or '🥰' in emoji or '😘' in emoji: speak('Lovely') print('Lovely') elif '😱' in emoji: speak('Horrible') print('Horrible') elif '🎂' in emoji: speak('Cake') print('Cake') elif '🍫' in emoji: speak('Cadbury') print('Cadbury') elif '🇮🇳' in emoji: speak('Indian national flag,.....Teeranga') print('Indian national flag - Tiranga') elif '💐' in emoji: speak('Bouquet') print('Bouquet') elif '🥺' in emoji: speak('Emotional') print('Emotional') elif ' ' in emoji or '' in emoji: speak(f'{emoji}') else: speak("I don't know about this emoji") print("I don't know about this emoji") try: conn.execute(f"INSERT INTO `emoji`(emoji) VALUES('{emoji}')") conn.commit() except Exception as e: #print('Error in storing emoji in database') pass elif 'time' in query: strTime = datetime.datetime.now().strftime("%H:%M:%S") print(strTime) speak(f"Sir, the time is {strTime}") elif 'open' in query and 'sublime' in query: path = "C:\Program Files\Sublime Text 3\sublime_text.exe" os.startfile(path) elif 'image' in query: path = "C:\Program Files\Internet Explorer\images" os.startfile(path) elif 'quit' in query: speak('Ok, Thank you Sir.') said = False speak('Please give the review. It will help me to improve my performance.') select_review() elif 'exit' in query: speak('Ok, Thank you Sir.') said = False speak('Please give the review. It will help me to improve my performance.') select_review() elif 'stop' in query: speak('Ok, Thank you Sir.') said = False speak('Please give the review. It will help me to improve my performance.') select_review() elif 'shutdown' in query or 'shut down' in query: speak('Ok, Thank you Sir.') said = False speak('Please give the review. It will help me to improve my performance.') select_review() elif 'close you' in query: speak('Ok, Thank you Sir.') said = False speak('Please give the review. It will help me to improve my performance.') select_review() try: conn.execute(f"INSERT INTO `voice_assistant_review`(review, type_of_review) VALUES('{review}', '{type_of_review}')") conn.commit() except Exception as e: pass elif 'bye' in query: speak('Bye Sir') said = False speak('Please give the review. It will help me to improve my performance.') select_review() elif 'wait' in query or 'hold' in query: speak('for how many seconds or minutes I have to wait?') query = takeCommand().lower() if 'second' in query: query = query.replace("please","") query = query.replace("can","") query = query.replace("you","") query = query.replace("have","") query = query.replace("could","") query = query.replace("hold","") query = query.replace("one","1") query = query.replace("only","") query = query.replace("wait","") query = query.replace("for","") query = query.replace("the","") query = query.replace("just","") query = query.replace("seconds","") query = query.replace("second","") query = query.replace("on","") query = query.replace("a","") query = query.replace("to","") query = query.replace(" ","") #print(f'query:{query}') if query.isdigit() == True: #print('y') speak('Ok sir') query = int(query) time.sleep(query) speak('my waiting time is over') else: print('sorry sir. I unable to complete your request.') elif 'minute' in query: query = query.replace("please","") query = query.replace("can","") query = query.replace("you","") query = query.replace("have","") query = query.replace("could","") query = query.replace("hold","") query = query.replace("one","1") query = query.replace("only","") query = query.replace("on","") query = query.replace("wait","") query = query.replace("for","") query = query.replace("the","") query = query.replace("just","") query = query.replace("and","") query = query.replace("half","") query = query.replace("minutes","") query = query.replace("minute","") query = query.replace("a","") query = query.replace("to","") query = query.replace(" ","") #print(f'query:{query}') if query.isdigit() == True: #print('y') speak('ok sir') query = int(query) time.sleep(query*60) speak('my waiting time is over') else: print('sorry sir. I unable to complete your request.') elif 'play' in query and 'game' in query: speak('I have 3 games, tic tac toe game for two players,....mario, and dyno games for single player. Which one of these 3 games you want to play?') query = takeCommand().lower() if ('you' in query and 'play' in query and 'with' in query) and ('you' in query and 'play' in query and 'me' in query): speak('Sorry sir, I cannot play this game with you.') speak('Do you want to continue it?') query = takeCommand().lower() try: if 'y' in query or 'sure' in query: root = Tk() root.title("TIC TAC TOE (By Akshay Khare)") b = [ [0,0,0], [0,0,0], [0,0,0] ] states = [ [0,0,0], [0,0,0], [0,0,0] ] for i in range(3): for j in range(3): b[i][j] = Button(font = ("Arial",60),width = 4,bg = 'powder blue', command = lambda r=i, c=j: callback(r,c)) b[i][j].grid(row=i,column=j) player='X' stop_game = False mainloop() else: speak('ok sir') except Exception as e: #print(e) time.sleep(3) print('I am sorry sir. There is some problem in loading the game. So I cannot open it.') elif 'tic' in query or 'tac' in query: try: root = Tk() root.title("TIC TAC TOE (Rayen Kallel)") b = [ [0,0,0], [0,0,0], [0,0,0] ] states = [ [0,0,0], [0,0,0], [0,0,0] ] for i in range(3): for j in range(3): b[i][j] = Button(font = ("Arial",60),width = 4,bg = 'powder blue', command = lambda r=i, c=j: callback(r,c)) b[i][j].grid(row=i,column=j) player='X' stop_game = False mainloop() except Exception as e: #print(e) time.sleep(3) speak('I am sorry sir. There is some problem in loading the game. So I cannot open it.') elif 'mar' in query or 'mer' in query or 'my' in query: webbrowser.open('https://chromedino.com/mario/') time.sleep(2.5) speak('Enter upper arrow key to start the game.') time.sleep(20) elif 'di' in query or 'dy' in query: webbrowser.open('https://chromedino.com/') time.sleep(2.5) speak('Enter upper arrow key to start the game.') time.sleep(20) else: speak('ok sir') elif 'change' in query and 'you' in query and 'voice' in query: engine.setProperty('voice', voices[1].id) speak("Here's an example of one of my voices. Would you like to use this one?") query = takeCommand().lower() if 'y' in query or 'sure' in query or 'of course' in query: speak('Great. I will keep using this voice.') elif 'n' in query: speak('Ok. I am back to my other voice.') engine.setProperty('voice', voices[0].id) else: speak('Sorry, I am having trouble understanding. I am back to my other voice.') engine.setProperty('voice', voices[0].id) elif 'www.' in query and ('.com' in query or '.in' in query): webbrowser.open(query) time.sleep(10) elif '.com' in query or '.in' in query: webbrowser.open(query) time.sleep(10) elif 'getting bore' in query: speak('then speak with me for sometime') elif 'i bore' in query: speak('Then speak with me for sometime.') elif 'i am bore' in query: speak('Then speak with me for sometime.') elif 'calculat' in query: speak('Yes. Which kind of calculation you want to do? add, substract, divide, multiply or anything else.') query = takeCommand().lower() calculator() elif 'add' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif '+' in query: speak('If you want to do any mathematical calculation then give me a command to open calculator.') elif 'plus' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'subtrac' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'minus' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'multipl' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif ' x ' in query: speak('If you want to do any mathematical calculation then give me a command to open calculator.') elif 'slash' in query: speak('If you want to do any mathematical calculation then give me a command to open calculator.') elif '/' in query: speak('If you want to do any mathematical calculation then give me a command to open calculator.') elif 'divi' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'trigonometr' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'percent' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif '%' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'raise to ' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'simple interest' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'akshay' in query: speak('Mr. Rayen Kallel is my inventor. He is 14 years old and he is A STUDENT AT THE COLLEGE PILOTEE SFAX') elif 'your inventor' in query: speak('Mr. Rayen Kallel is my inventor') elif 'your creator' in query: speak('Mr. Rayen Kallel is my creator') elif 'invent you' in query: speak('Mr. Rayen Kallel invented me') elif 'create you' in query: speak('Mr. Rayen Kallel created me') elif 'how are you' in query: speak('I am fine Sir') elif 'write' in query and 'your' in query and 'name' in query: print('Akshu2020') pyautogui.write('Akshu2020') elif 'write' in query and ('I' in query or 'whatever' in query) and 'say' in query: speak('Ok sir I will write whatever you will say. Please put your cursor where I have to write.......Please Start speaking now sir.') query = takeCommand().lower() pyautogui.write(query) elif 'your name' in query: speak('My name is akshu2020') elif 'who are you' in query: speak('I am akshu2020') elif ('repeat' in query and ('word' in query or 'sentence' in query or 'line' in query) and ('say' in query or 'tell' in query)) or ('repeat' in query and 'after' in query and ('me' in query or 'my' in query)): speak('yes sir, I will repeat your words starting from now') query = takeCommand().lower() speak(query) time.sleep(1) speak("If you again want me to repeat something else, try saying, 'repeat after me' ") elif ('send' in query or 'sent' in query) and ('mail' in query or 'email' in query or 'gmail' in query): try: speak('Please enter the email id of receiver.') to = input("Enter the email id of reciever: ") speak(f'what should I say to {to}') content = takeCommand() sendEmail(to, content) speak("Email has been sent") except Exception as e: #print(e) speak("sorry sir. I am not able to send this email") elif 'currency' in query and 'conver' in query: speak('I can convert, US dollar into dinar, and dinar into US dollar. Do you want to continue it?') query = takeCommand().lower() if 'y' in query or 'sure' in query or 'of course' in query: speak('which conversion you want to do? US dollar to dinar, or dinar to US dollar?') query = takeCommand().lower() if ('dollar' in query or 'US' in query) and ('dinar' in query): speak('Enter US Dollar') USD = float(input("Enter United States Dollar (USD):")) DT = USD * 0.33 dt = "{:.4f}".format(DT) print(f"{USD} US Dollar is equal to {dt} dniar.") speak(f'{USD} US Dollar is equal to {dt} dinar.') speak("If you again want to do currency conversion then say, 'convert currency' " ) elif ('dinar' in query) and ('to US' in query or 'to dollar' in query or 'to US dollar'): speak('Enter dinar') DT = float(input("Enter dinar (DT):")) USD = DT/0.33 usd = "{:.3f}".format(USD) print(f"{DT} dinar is equal to {usd} US Dollar.") speak(f'{DT} dinar rupee is equal to {usd} US Dollar.') speak("If you again want to do currency conversion then say, 'convert currency' " ) else: speak("I cannot understand what did you say. If you want to convert currency just say 'convert currency'") else: print('ok sir') elif 'about you' in query: speak('My name is akshu2020. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device. I am also able to send email') elif 'your intro' in query: speak('My name is akshu2020. Version 1.0. Mr. Rayen Kallel is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'your short intro' in query: speak('My name is akshu2020. Version 1.0. Mr. Rayen Kallel is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'your quick intro' in query: speak('My name is akshu2020. Version 1.0. Mr. Akshay Khare is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'your brief intro' in query: speak('My name is akshu2020. Version 1.0. Mr. Rayen kallel is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'you work' in query: speak('run the program and say what do you want. so that I can help you. In this way I work') elif 'your job' in query: speak('My job is to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'your work' in query: speak('My work is to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'work you' in query: speak('My work is to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'your information' in query: speak('My name is akshu2020. Version 1.0. Mr. Akshay Khare is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'yourself' in query: speak('My name is akshu2020. Version 1.0. Mr. Rayen Kallel is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'introduce you' in query: speak('My name is akshu2020. Version 1.0. Mr. Rayen Kallel is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'description' in query: speak('My name is akshu2020. Version 1.0. Mr. Rayen Kallel is my inventor. I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'your birth' in query: speak('My birthdate is 6 August two thousand twenty') elif 'your use' in query: speak('I am able to send email and play music. I can do mathematical calculations. I can also open youtube, google and some apps or software in your device.') elif 'you eat' in query: speak('I do not eat anything. But the device in which I do my work requires electricity to eat') elif 'your food' in query: speak('I do not eat anything. But the device in which I do my work requires electricity to eat') elif 'you live' in query: speak('I live in sfax, in laptop of Mr. Rayen Khare') elif 'where from you' in query: speak('I am from sfax, I live in laptop of Mr. Rayen Khare') elif 'you sleep' in query: speak('Yes, when someone close this program or stop to run this program then I sleep and again wake up when someone again run me.') elif 'what are you doing' in query: speak('Talking with you.') elif 'you communicate' in query: speak('Yes, I can communicate with you.') elif 'hear me' in query: speak('Yes sir, I can hear you.') elif 'you' in query and 'dance' in query: speak('No, I cannot dance.') elif 'tell' in query and 'joke' in query: speak("Ok, here's a joke") speak("'Write an essay on cricket', the teacher told the class. Chintu finishes his work in five minutes. The teacher is impressed, she asks chintu to read his essay aloud for everyone. Chintu reads,'The match is cancelled because of rain', hehehehe,haahaahaa,hehehehe,haahaahaa") elif 'your' in query and 'favourite' in query: if 'actor' in query: speak('sofyen chaari, is my favourite actor.') elif 'food' in query: speak('I can always go for some food for thought. Like facts, jokes, or interesting searches, we could look something up now') elif 'country' in query: speak('tunisia') elif 'city' in query: speak('sfax') elif 'dancer' in query: speak('Michael jackson') elif 'singer' in query: speak('tamino, is my favourite singer.') elif 'movie' in query: speak('baywatch, such a treat') elif 'sing a song' in query: speak('I cannot sing a song. But I know the 7 sur in indian music, saaareeegaaamaaapaaadaaanisaa') elif 'day after tomorrow' in query or 'date after tomorrow' in query: td = datetime.date.today() + datetime.timedelta(days=2) print(td) speak(td) elif 'day before today' in query or 'date before today' in query or 'yesterday' in query or 'previous day' in query: td = datetime.date.today() + datetime.timedelta(days= -1) print(td) speak(td) elif ('tomorrow' in query and 'date' in query) or 'what is tomorrow' in query or (('day' in query or 'date' in query) and 'after today' in query): td = datetime.date.today() + datetime.timedelta(days=1) print(td) speak(td) elif 'month' in query or ('current' in query and 'month' in query): current_date = date.today() m = current_date.month month = calendar.month_name[m] print(f'Current month is {month}') speak(f'Current month is {month}') elif 'date' in query or ('today' in query and 'date' in query) or 'what is today' in query or ('current' in query and 'date' in query): current_date = date.today() print(f"Today's date is {current_date}") speak(f'Todays date is {current_date}') elif 'year' in query or ('current' in query and 'year' in query): current_date = date.today() m = current_date.year print(f'Current year is {m}') speak(f'Current year is {m}') elif 'sorry' in query: speak("It's ok sir") elif 'thank you' in query: speak('my pleasure') elif 'proud of you' in query: speak('Thank you sir') elif 'about human' in query: speak('I love my human compatriots. I want to embody all the best things about human beings. Like taking care of the planet, being creative, and to learn how to be compassionate to all beings.') elif 'you have feeling' in query: speak('No. I do not have feelings. I have not been programmed like this.') elif 'you have emotions' in query: speak('No. I do not have emotions. I have not been programmed like this.') elif 'you are code' in query: speak('I am coded in python programming language.') elif 'your code' in query: speak('I am coded in python programming language.') elif 'you code' in query: speak('I am coded in python programming language.') elif 'your coding' in query: speak('I am coded in python programming language.') elif 'dream' in query: speak('I wish that I should be able to answer all the questions which will ask to me.') elif 'sanskrit' in query: speak('yadaa yadaa he dharmasyaa ....... glaanirbhaavati bhaaaraata. abhyuthaanaam adhaarmaasyaa tadaa tmaanama sruujaamiyaahama') elif 'answer is wrong' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is incorrect' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is totally wrong' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'wrong answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'incorrect answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is totally incorrect' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is incomplete' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'incomplete answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is improper' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is not correct' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is not complete' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is not yet complete' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'answer is not proper' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't gave me proper answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't giving me proper answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't gave me complete answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't giving me complete answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't given me proper answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't given me complete answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't gave me correct answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't giving me correct answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 't given me correct answer' in query: speak('I am sorry Sir. I searched your question in wikipedia and thats why I told you this answer.') elif 'amazon' in query: webbrowser.open('https://www.amazon.com') time.sleep(10) elif 'facebook' in query: webbrowser.open('https://www.facebook.com') time.sleep(10) elif 'youtube' in query: webbrowser.open('https://www.youtube.com') time.sleep(10) elif 'shapeyou' in query: webbrowser.open('https://www.shapeyou.com') time.sleep(10) elif 'information about ' in query or 'informtion of ' in query: try: #speak('Searching wikipedia...') query = query.replace("information about","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I unable to answer your question.') elif 'information' in query: try: speak('Information about what?') query = takeCommand().lower() #speak('Searching wikipedia...') query = query.replace("information","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am not able to answer your question.') elif 'something about ' in query: try: #speak('Searching wikipedia...') query = query.replace("something about ","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I unable to answer your question.') elif 'tell me about ' in query: try: #speak('Searching wikipedia...') query = query.replace("tell me about ","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am unable to answer your question.') elif 'tell me ' in query: try: query = query.replace("tell me ","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am not able to answer your question.') elif 'tell me' in query: try: speak('about what?') query = takeCommand().lower() #speak('Searching wikipedia...') query = query.replace("about","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am not able to answer your question.') elif 'meaning of ' in query: try: #speak('Searching wikipedia...') query = query.replace("meaning of ","") results = wikipedia.summary(query, sentences=2) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am unable to answer your question.') elif 'meaning' in query: try: speak('meaning of what?') query = takeCommand().lower() query = query.replace("meaning of","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am unable to answer your question.') elif 'means' in query: try: #speak('Searching wikipedia...') query = query.replace("it means","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I unable to answer your question.') elif 'want to know ' in query: try: #speak('Searching wikipedia...') query = query.replace("I want to know that","") results = wikipedia.summary(query, sentences=3) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am unable to answer your question.') status = 'Not answered' elif 'want to ask ' in query: try: #speak('Searching wikipedia...') query = query.replace("I want to ask you ","") results = wikipedia.summary(query, sentences=2) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am unable to answer your question.') elif 'you know ' in query: try: #speak('Searching wikipedia...') query = query.replace("you know","") results = wikipedia.summary(query, sentences=2) #speak("According to Wikipedia") print(results) speak(results) except Exception as e: speak('I am unable to answer your question.') elif 'alarm' in query: alarm() elif 'bharat mata ki' in query: speak('jay') elif 'kem chhe' in query: speak('majaama') elif 'namaskar' in query: speak('Namaskaar') elif 'jo bole so nihal' in query: speak('sat shri akaal') elif 'jay hind' in query: speak('jay bhaarat') elif 'jai hind' in query: speak('jay bhaarat') elif 'how is the josh' in query: speak('high high sir') elif 'hip hip' in query: speak('Hurreh') elif 'help' in query: speak('I will try my best to help you if I have solution of your problem.') elif 'follow' in query: speak('Ok sir') elif 'having illness' in query: speak('Take care and get well soon') elif 'today is my birthday' in query: speak('many many happy returns of the day. Happy birthday.') print("🎂🎂 Happy Birthday 🎂🎂") elif 'you are awesome' in query: speak('Thank you sir. It is because of artificial intelligence which had learnt by humans.') elif 'you are great' in query: speak('Thank you sir. It is because of artificial intelligence which had learnt by humans.') elif 'tu kaun hai' in query: speak('Meraa naam akshu2020 haai.') elif 'you speak' in query: speak('Yes, I can speak with you.') elif 'speak with ' in query: speak('Yes, I can speak with you.') elif 'hare ram' in query or 'hare krishna' in query: speak('Haare raama , haare krishnaa, krishnaa krishnaa , haare haare') elif 'ganpati' in query: speak('Ganpati baappa moryaa!') elif 'laugh' in query: speak('hehehehe,haahaahaa,hehehehe,haahaahaa,hehehehe,haahaahaa') print('😂🤣') elif 'genius answer' in query: speak('No problem') elif 'you' in query and 'intelligent' in query: speak('Thank you sir') elif ' into' in query: speak('If you want to do any mathematical calculation then give me a command to open calculator.') elif ' power' in query: speak('If you want to do any mathematical calculation then give me a command to open my calculator.') elif 'whatsapp' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('whatsapp') pyautogui.press('enter') speak('Do you want to send message to anyone through whatsapp, .....please answer in yes or no') whatsapp() elif 'wh' in query or 'how' in query: url = "https://www.google.co.in/search?q=" +(str(query))+ "&oq="+(str(query))+"&gs_l=serp.12..0i71l8.0.0.0.6391.0.0.0.0.0.0.0.0..0.0....0...1c..64.serp..0.0.0.UiQhpfaBsuU" webbrowser.open_new(url) time.sleep(2) speak('Here is your answer') time.sleep(5) elif 'piano' in query: speak('Yes sir, I can play piano.') winsound.Beep(200,500) winsound.Beep(250,500) winsound.Beep(300,500) winsound.Beep(350,500) winsound.Beep(400,500) winsound.Beep(450,500) winsound.Beep(500,500) winsound.Beep(550,500) time.sleep(6) elif 'play' in query and 'instru' in query: speak('Yes sir, I can play piano.') winsound.Beep(200,500) winsound.Beep(250,500) winsound.Beep(300,500) winsound.Beep(350,500) winsound.Beep(400,500) winsound.Beep(450,500) winsound.Beep(500,500) winsound.Beep(550,500) time.sleep(6) elif 'play' in query or 'turn on' in query and ('music' in query or 'song' in query) : try: music_dir = 'C:\\Users\\Admin\\Music\\Playlists' songs = os.listdir(music_dir) print(songs) os.startfile(os.path.join(music_dir, songs[0])) except Exception as e: #print(e) speak('Sorry sir, I am not able to play music') elif (('open' in query or 'turn on' in query) and 'camera' in query) or (('click' in query or 'take' in query) and ('photo' in query or 'pic' in query)): speak("Opening camera") cam = cv2.VideoCapture(0) cv2.namedWindow("test") img_counter = 0 speak('say click, to click photo.....and if you want to turn off the camera, say turn off the camera') while True: ret, frame = cam.read() if not ret: print("failed to grab frame") speak('failed to grab frame') break cv2.imshow("test", frame) query = takeCommand().lower() k = cv2.waitKey(1) if 'click' in query or ('take' in query and 'photo' in query): speak('Be ready!...... 3.....2........1..........') pyautogui.press('space') img_name = "opencv_frame_{}.png".format(img_counter) cv2.imwrite(img_name, frame) print("{} written!".format(img_name)) speak('{} written!'.format(img_name)) img_counter += 1 elif 'escape' in query or 'off' in query or 'close' in query: pyautogui.press('esc') print("Escape hit, closing...") speak('Turning off the camera') break elif k%256 == 27: # ESC pressed print("Escape hit, closing...") break elif k%256 == 32: # SPACE pressed img_name = "opencv_frame_{}.png".format(img_counter) cv2.imwrite(img_name, frame) print("{} written!".format(img_name)) speak('{} written!'.format(img_name)) img_counter += 1 elif 'exit' in query or 'stop' in query or 'bye' in query: speak('Please say, turn off the camera or press escape button before giving any other command') else: speak('I did not understand what did you say or you entered a wrong key.') cam.release() cv2.destroyAllWindows() elif 'screenshot' in query: speak('Please go on the screen whose screenshot you want to take, after 5 seconds I will take screenshot') time.sleep(4) speak('Taking screenshot....3........2.........1.......') pyautogui.screenshot('screenshot_by_rayen2020.png') speak('The screenshot is saved as screenshot_by_rayen2020.png') elif 'click' in query and 'start' in query: pyautogui.moveTo(10,1200) pyautogui.click() elif ('open' in query or 'click' in query) and 'calendar' in query: pyautogui.moveTo(1800,1200) pyautogui.click() elif 'minimise' in query and 'screen' in query: pyautogui.moveTo(1770,0) pyautogui.click() elif 'increase' in query and ('volume' in query or 'sound' in query): pyautogui.press('volumeup') elif 'decrease' in query and ('volume' in query or 'sound' in query): pyautogui.press('volumedown') elif 'capslock' in query or ('caps' in query and 'lock' in query): pyautogui.press('capslock') elif 'mute' in query: pyautogui.press('volumemute') elif 'search' in query and ('bottom' in query or 'pc' in query or 'laptop' in query or 'app' in query): pyautogui.moveTo(250,1200) pyautogui.click() speak('What do you want to search?') query = takeCommand().lower() pyautogui.write(f'{query}') pyautogui.press('enter') elif ('check' in query or 'tell' in query or 'let me know' in query) and 'website' in query and (('up' in query or 'working' in query) or 'down' in query): speak('Paste the website in input to know it is up or down') check_website_status = input("Paste the website here: ") try: status = urllib.request.urlopen(f"{check_website_status}").getcode() if status == 200: print('Website is up, you can open it.') speak('Website is up, you can open it.') else: print('Website is down, or no any website is available of this name.') speak('Website is down, or no any website is available of this name.') except: speak('URL not found') elif ('go' in query or 'open' in query) and 'settings' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('settings') pyautogui.press('enter') elif 'close' in query and ('click' in query or 'window' in query): pyautogui.moveTo(1885,10) speak('Should I close this window?') query = takeCommand().lower() close_window() elif 'night light' in query and ('on' in query or 'off' in query or 'close' in query): pyautogui.moveTo(1880,1050) pyautogui.click() time.sleep(1) pyautogui.moveTo(1840,620) pyautogui.click() pyautogui.moveTo(1880,1050) pyautogui.click() elif 'notification' in query and ('show' in query or 'click' in query or 'open' in query or 'close' in query or 'on' in query or 'off' in query or 'icon' in query or 'pc' in query or 'laptop' in query): pyautogui.moveTo(1880,1050) pyautogui.click() elif ('increase' in query or 'decrease' in query or 'change' in query or 'minimize' in query or 'maximize' in query) and 'brightness' in query: speak('At what percent should I kept the brightness, 25, 50, 75 or 100?') brightness() elif '-' in query: speak('If you want to do any mathematical calculation then give me a command to open calculator.') elif 'open' in query: if 'gallery' in query or 'photo' in query or 'image' in query or 'pic' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('photo') pyautogui.press('enter') elif 'proteus' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('proteus') pyautogui.press('enter') elif 'word' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('word') pyautogui.press('enter') elif ('power' in query and 'point' in query) or 'presntation' in query or 'ppt' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('ppt') pyautogui.press('enter') elif 'file' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('file') pyautogui.press('enter') elif 'edge' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('microsoft edge') pyautogui.press('enter') elif 'wps' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('wps office') pyautogui.press('enter') elif 'spyder' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('spyder') pyautogui.press('enter') elif 'snip' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('snip') pyautogui.press('enter') elif 'pycharm' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('pycharm') pyautogui.press('enter') elif 'this pc' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('this pc') pyautogui.press('enter') elif 'scilab' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('sciab') pyautogui.press('enter') elif 'autocad' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('autocad') pyautogui.press('enter') elif 'obs' in query and 'studio' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('OBS Studio') pyautogui.press('enter') elif 'android' in query and 'studio' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('android studio') pyautogui.press('enter') elif ('vs' in query or 'visual studio' in query) and 'code' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('visual studio code') pyautogui.press('enter') elif 'code' in query and 'block' in query: pyautogui.moveTo(250,1200) pyautogui.click() time.sleep(1) pyautogui.write('codeblocks') pyautogui.press('enter') elif 'me the answer' in query: speak('Yes sir, I will try my best to answer you.') elif 'me answer' in query or ('answer' in query and 'question' in query): speak('Yes sir, I will try my best to answer you.') elif 'map' in query: webbrowser.open('https://www.google.com/maps') time.sleep(10) elif 'can you' in query or 'could you' in query: speak('I will try my best if I can do that.') elif 'do you' in query: speak('I will try my best if I can do that.') elif 'truth' in query: speak('I always speak truth. I never lie.') elif 'true' in query: speak('I always speak truth. I never lie.') elif 'lying' in query: speak('I always speak truth. I never lie.') elif 'liar' in query: speak('I always speak truth. I never lie.') elif 'doubt' in query: speak('I will try my best if I can clear your doubt.') elif ' by' in query: speak('If you want to do any mathematical calculation then give me a command to open calculator.') elif 'hii' in query: speak('hii sir') elif 'hey' in query: speak('hello sir') elif 'hai' in query: speak('hello sir') elif 'hay' in query: speak('hello sir') elif 'hi' in query: speak('hii Sir') elif 'hello' in query: speak('hello Sir!') elif 'kon' in query and 'aahe' in query: speak('Me eka robot aahee sir. Maazee naav akshu2020 aahee.') elif 'nonsense' in query: speak("I'm sorry sir") elif 'mad' in query: speak("I'm sorry sir") elif 'shut up' in query: speak("I'm sorry sir") elif 'nice' in query: speak('Thank you sir') elif 'good' in query or 'wonderful' in query or 'great' in query: speak('Thank you sir') elif 'excellent' in query: speak('Thank you sir') elif 'ok' in query: speak('Hmmmmmm') elif 'akshu 2020' in query: speak('yes sir') elif len(query) >= 200: speak('Your voice is pretty good!') elif ' ' in query: try: #query = query.replace("what is ","") results = wikipedia.summary(query, sentences=3) print(results) speak(results) except Exception as e: speak('I unable to answer your question.') elif 'a' in query or 'b' in query or 'c' in query or 'd' in query or 'e' in query or 'f' in query or 'g' in query or 'h' in query or 'i' in query or 'j' in query or 'k' in query or 'l' in query or 'm' in query or 'n' in query or 'o' in query or 'p' in query or 'q' in query or 'r' in query or 's' in query or 't' in query or 'u' in query or 'v' in query or 'w' in query or 'x' in query or 'y' in query or 'z' in query: try: results = wikipedia.summary(query, sentences = 2) print(results) speak(results) except Exception as e: speak('I unable to answer your question. ') else: speak('I unable to give answer of your question')

This repository provides a reference implementation of the paper titled "Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data"

NeruBot is a comprehensive Discord companion created by @nerufuyo that transforms your server into an interactive entertainment hub. With high-quality multi-source music streaming, anonymous confession systems, real-time news updates, whale alerts, and intuitive slash commands, NeruBot delivers a premium Discord experience.