Amazon Alexa + WeMos switch made with Arduino D1 Mini

A curated list of awesome stuff built using Amazon Alexa

We have come a long way since I was a child in the 1960s when all I wanted for Christmas was a slinky and some Rock’Em – Sock’Em Robots. Now imagine we have traveled ten years into the future, and it is Christmas 2031. Alexa has replaced kids’ parents and Santa Claus. Every toy is connected to the Internet and looks like a robot version of the animal it represents. Clean thermonuclear Christmas trees will be providing us with radiant, gamma-ray energy for all our holiday needs. Pogo sticks have also made a comeback, but they are solar-powered and can leap entire city blocks. And while I am busy pretending to be the Ghost of Christmas Future, I thought it would also be fun to ask the Office of the CTO team about their predictions for futuristic, technical toys. So, I posed these two questions: What cool TECHNICAL toy or gadget would you like Santa to bring you this year in 2021? As a participating member of the Office of the CTO, what cool TECHNICAL toy or gadget (that has not yet been invented) would you like Santa to bring you in 10 years from now in 2031? christmas wishlist for the octo team overlay You know what? We just might see I see a sneak preview of some of these magical tech toys of the future in just a few weeks at the CES 2022 conference. In the meantime, take a look at the wish list from all of our Extreme technical gurus: Marcus Burton – Wireless and Cloud Architect Christmas Wish 2021: Is a Tesla Cybertruck an option? I’ll even take a prototype. That will scratch several technology itches at the same time. Think about it…EV, autonomous driving, AI, 5G probably, cloud-connected, mobile-first, and all the best in materials sciences and mechanical engineering applied to trucks. What more could an outdoorsy tech guy want? Christmas Wish 2031: I’m kinda thinking that while everyone else has their brain slurped out in the metaverse (with VR!), I will prefer to go to the actual mountains. But you know, I have a wife and kids, so I have to think about safety. So here’s my wish: a smart personal device that has a full week of battery life (using ultra-thin silicon wafers) with rapid solar charging, LEO satellite connectivity (for sending “eat your heart out” 3D pics to my friends from the “there’s no 6G here” wilderness), and ultra-HD terrain feature maps for modern navigation. Carla Guzzetti – VP, Experience, Messaging & Enablement Christmas Wish 2021: I want this: Meeting Owl Pro – 360-Degree, 1080p HD Smart Video Conference Camera, Microphone, and Speaker Christmas Wish 2031: I want a gadget where we can have virtual meetings without the need for a wearable! Who wants to wear heavy goggles all day? Doug McDonald – Director of Product Management Christmas Wish 2021: As a technologist often looking for a balance between screen time and health and fitness I hope Santa brings me the Aura Strap. The Aura strap adds additional IoT sensory capabilities to compliment your Apple smartwatch. Bioelectrical impedance analysis is the cutting-edge science behind the AURA Strap. This innovation provides a way to truly see how your body changes over the course of a day. Their body composition analysis includes fat, muscle mass, minerals, and hydration; providing personalized insights that improve the results of your workouts, diet, and your lifestyle as a whole. Christmas Wish 2031: Hopefully, this innovation will be here sooner. Still, in the spirit of my first wish from Santa, I also hope to have a service engine warning light for me. The concept is utilizing advancements in biomedical sensory devices to pinpoint potential changes in your physical metrics that may help in seeking medical attention sooner than later if variances in health data occur. I spoke about this concept in the Digital Diagnosis episode of the Inflection Points podcast from the Office of the CTO. Ed Koehler – Principal Engineer Christmas Wish 2021: My answers are short and sweet. I want a nice drone with high-resolution pan, tilt, and zoom (PTZ) cameras. Christmas Wish 2031: In ten years, I want a drone that I can sit inside and fly away! Puneet Sehgal – Business Initiatives Program Manager Christmas Wish 2021: I have always wanted to enjoy the world from a bird’s eye view. Therefore, my wish is for Santa to bring me a good-quality drone camera this year. It is amazing how quickly drones have evolved from commercial /military use to becoming a personal gadget. Christmas Wish 2031: In 2031, I wish Santa could get me a virtual reality (VR) trainer to help me internalize physical motion by looking at a simulation video while sending an electrical impulse to mimic it. It will open endless possibilities, and I could become an ice skater, a karate expert, or a pianist – all in one. Maybe similar research is already being done, but we are far away from something like this maturing for practical use. So, who knows – it’s Santa after all and we are talking 2031! Tim Harrison – Director of Product Marketing, Service Provider Christmas Wish 2021: This year, I would love to extend my audio recording setup and move from a digital 24 channel mixer to a control surface that integrates with my DAW (digital audio workstation) and allows me to use my outboard microphone pre-amps. I’ve been looking at an ICON QCon Pro G2 plus one QCon EX G2 extender to give me direct control over 16 channels at once (I use 16 channels just for my drum kit). Christmas Wish 2031: Ten years from now, I sincerely hope to receive an anti-gravity platform. First, I’ll be old, and climbing stairs will have become more challenging for these creaky old bones. Secondly, who hasn’t hoped for a REAL hoverboard? Once we know what gravity is “made of,” we can start making it easier to manipulate objects on earth and make space more habitable for human physiology. Either that or a puppy. Puppy sitting Divya Balu Pazhayannur – Director of Business Initiatives Christmas Wish 2021: I’m upgrading parts of my house over the holidays and browsing online for kitchen and laundry appliances. If you had told me that I would be spending three hours reading blogs on choosing the right cooktop for me, I would not have believed you. Does it have the right power, is it reliable, is it Wi-Fi enabled, can you talk to it – I’m kidding on that last one. Having said that, I’d love to get the Bosch Benchmark Gas Stovetop. Although I can’t speak to my appliance, its minimalist look has me writing it down on my wish list for Santa. I’ll even offer him some crispy dosas in exchange. Christmas Wish 2031: Apart from flying cars and personal robot assistants, I’d love to get the gift of better connectivity. I miss my family and friends in India, and it would be amazing to engage with them through holographic technology. I imagine it would allow for a much higher level of communication than today’s ‘talking head’ approach. Although do I want my family sitting with me in my living room? Still – I’d like to think a holograph would be just fantastic. Yury Ostrovsky – Sr. Technology Manager Christmas Wish 2021: I believe 2022 will be the year of VR toys. Virtual Reality is already popular, but I believe more applications will be developed in this area. We might see radio waves coming from different sources (Wi-Fi, LTE, 5G, BT, etc.) and visualize propagation in real-time. Christmas Wish 2031: “Prediction is very difficult, especially if it’s about the future” – Niels Bohr Kurt Semba – Principal Architect Christmas Wish 2021: The Crown from Neurosity. It helps you get and stay in a deep focus to improve your work and gaming results. Christmas Wish 2031: A non-evasive health device that can quickly look deep into your body and cells and explain why you are not feeling well today. Jon Filson – Senior Producer, Content Christmas Wish 2021: I want a large rollable TV by LG. In part because I watch a lot of football. And while I have a Smart TV, I still can’t get it to connect to my Bluetooth speaker … so while I love it, I want it to work better, and isn’t that so often the way with tech? But more than that, I don’t like and have never liked that rooms have to be designed around TVs. They are big, which is fine, but they are often in the way, which is less so. They should disappear when not in use. It’s $100,000 so I don’t expect it any time soon. But it’s an idea whose time has come. Christmas Wish 2031: I cheated on this one and asked my 12-year-old son Jack what he would want. It’s the portal gun, from Rick and Morty, a show in which a crazed scientist named Rick takes his grandson Morty on wacky adventures in a multi-verse. That last part is important to me. Kids today are already well into multi-verses, while we adults are just struggling to make one decent Metaverse. The next generation is already way ahead of us digitally speaking, it’s clear. Alexey Reznik – Senior UX Designer Christmas Wish 2021: This awesome toy: DJI Mavic 2 Pro – Drone Quadcopter UAV with Hasselblad Camera 3-Axis Gimbal HDR 4K Video Adjustable Aperture 20MP 1″ CMOS Sensor, up to 48mph, Gray Christmas Wish 2031: Something along these lines: BMW Motorrad VISION NEXT 100 BMW Motorcycle Michael Rash – Distinguished Engineer – Security Christmas Wish 2021: Satechi USB-C Multiport MX Adapter – Dual 4K HDMI. Christmas Wish 2031: A virtual reality headset that actually works. Alena Amir – Senior Content and Communications Manager Christmas Wish 2021: With conversations around VR/AR and the metaverse taking the world by storm, Santa could help out with an Oculus Quest. Purely for research purposes of course! Christmas Wish 2031: The 1985 movie, Back to the Future, was a family favorite and sure we didn’t get it all exactly right by 2015 but hey, it’s almost 2022! About time we get those hoverboards! David Coleman – Director of Wireless Christmas Wish 2021: Well, it looks like drones are the #1 wish item for 2021, and I am no exception. My wife and I just bought a home in the mountains of Blue Ridge, Georgia, where there is an abundance of wildlife. I want a state-of-the-art drone for bear surveillance. Christmas Wish 2031: In ten years, I will be 71 years old, and I hope to be at least semi-retired and savoring the fruits of my long tech career. Even though we are looking to the future, I want a time machine to revisit the past. I would travel back to July 16th, 1969, and watch Apollo 11 liftoff from Cape Kennedy to the moon. I actually did that as a nine-year-old kid. Oh, and I would also travel back to 1966 and play with my Rock’Em – Sock’Em Robots. Rock'em Sock'em Robots To summarize, our peeps in the Office of the CTO all envision Christmas 2031, where the way we interact as a society will have progressed. In 2021, we already have unlimited access to information, so future tech toys might depend less on magical new technologies and more on the kinds of experiences these new technologies can create. And when those experiences can be shared across the globe in real-time, the world gains an opportunity to learn from each other and grow together in ways that would never have been possible.

Wake-up-word(WUW)system is an emerging development in recent times. Voice interaction with systems have made life ease and aids in multi-tasking. Apple, Google, Microsoft, Amazon have developed a custom wake-word engine, which are addressed by words such as ‘Hey Siri’. ‘Ok Google’, ‘Cortana’, ‘Alexa’. Our project focuses initially only detection and response to a customized wake-up command. The wake-up command used is “GOLUMOLU”. A wake-up-word detection system search for specific word and reads the word, where it rejects all other words, phrases and sounds. WUW system needs only less memory space, low computational cost and high precision. Artificial Neural Networks(ANN) have reduced the complexity, computational time, latency, thus the efficiency of system has improved. Deep learning has improved the efficiency of automatic speech recognition(SR), where wake word detection is a subset of SR but unlike keyword spotting and voice recognition. A deep learning RNN model is used for the training of the network. RNN are specifically used in case of temporal sequence data and has the ability to process data of different length but of same dimension. For training a model, labelled dataset is needed. We generated three forms of data: golumolu, negative and background. Such that, the model learns circumspectly and attentively detects when specific word found. To start communication with system, the wake word should be delivered. The main task of WUW detection system is to detect the speech, to identify WUW words among spoken words, to check whether the word spoken in altering context.

Artificial Intelligence and Machine Learning have empowered our lives to a large extent. The number of advancements made in this space has revolutionized our society and continue making society a better place to live in. In terms of perception, both Artificial Intelligence and Machine Learning are often used in the same context which leads to confusion. AI is the concept in which machine makes smart decisions whereas Machine Learning is a sub-field of AI which makes decisions while learning patterns from the input data. In this blog, we would dissect each term and understand how Artificial Intelligence and Machine Learning are related to each other. What is Artificial Intelligence? The term Artificial Intelligence was recognized first in the year 1956 by John Mccarthy in an AI conference. In layman terms, Artificial Intelligence is about creating intelligent machines which could perform human-like actions. AI is not a modern-day phenomenon. In fact, it has been around since the advent of computers. The only thing that has changed is how we perceive AI and define its applications in the present world. The exponential growth of AI in the last decade or so has affected every sphere of our lives. Starting from a simple google search which gives the best results of a query to the creation of Siri or Alexa, one of the significant breakthroughs of the 21st century is Artificial Intelligence. The Four types of Artificial Intelligence are:- Reactive AI – This type of AI lacks historical data to perform actions, and completely reacts to a certain action taken at the moment. It works on the principle of Deep Reinforcement learning where a prize is awarded for any successful action and penalized vice versa. Google’s AlphaGo defeated experts in Go using this approach. Limited Memory – In the case of the limited memory, the past data is kept on adding to the memory. For example, in the case of selecting the best restaurant, the past locations would be taken into account and would be suggested accordingly. Theory of Mind – Such type of AI is yet to be built as it involves dealing with human emotions, and psychology. Face and gesture detection comes close but nothing advanced enough to understand human emotions. Self-Aware – This is the future advancement of AI which could configure self-representations. The machines could be conscious, and super-intelligent. Two of the most common usage of AI is in the field of Computer Vision, and Natural Language Processing. Computer Vision is the study of identifying objects such as Face Recognition, Real-time object detection, and so on. Detection of such movements could go a long way in analyzing the sentiments conveyed by a human being. Natural Language Processing, on the other hand, deals with textual data to extract insights or sentiments from it. From ChatBot Development to Speech Recognition like Amazon’s Alexa or Apple’s Siri all uses Natural Language to extract relevant meaning from the data. It is one of the widely popular fields of AI which has found its usefulness in every organization. One other application of AI which has gained popularity in recent times is the self-driving cars. It uses reinforcement learning technique to learn its best moves and identify the restrictions or blockage in front of the road. Many automobile companies are gradually adopting the concept of self-driving cars. What is Machine Learning? Machine Learning is a state-of-the-art subset of Artificial Intelligence which let machines learn from past data, and make accurate predictions. Machine Learning has been around for decades, and the first ML application that got popular was the Email Spam Filter Classification. The system is trained with a set of emails labeled as ‘spam’ and ‘not spam’ known as the training instance. Then a new set of unknown emails is fed to the trained system which then categorizes it as ‘spam’ or ‘not spam.’ All these predictions are made by a certain group of Regression, and Classification algorithms like – Linear Regression, Logistic Regression, Decision Tree, Random Forest, XGBoost, and so on. The usability of these algorithms varies based on the problem statement and the data set in operation. Along with these basic algorithms, a sub-field of Machine Learning which has gained immense popularity in recent times is Deep Learning. However, Deep Learning requires enormous computational power and works best with a massive amount of data. It uses neural networks whose architecture is similar to the human brain. Machine Learning could be subdivided into three categories – Supervised Learning – In supervised learning problems, both the input feature and the corresponding target variable is present in the dataset. Unsupervised Learning – The dataset is not labeled in an unsupervised learning problem i.e., only the input features are present, but not the target variable. The algorithms need to find out the separate clusters in the dataset based on certain patterns. Reinforcement Learning – In this type of problems, the learner is rewarded with a prize for every correct move, and penalized for every incorrect move. The application of Machine Learning is diversified in various domains like Banking, Healthcare, Retail, etc. One of the use cases in the banking industry is predicting the probability of credit loan default by a borrower given its past transactions, credit history, debt ratio, annual income, and so on. In Healthcare, Machine Learning is often been used to predict patient’s stay in the hospital, the likelihood of occurrence of a disease, identifying abnormal patterns in the cell, etc. Many software companies have incorporated Machine Learning in their workflow to steadfast the process of testing. Various manual, repetitive tasks are being replaced by machine learning models. Comparison Between AI and Machine Learning Machine Learning is the subset of Artificial Intelligence which has taken the advancement in AI to a whole new level. The thought behind letting the computer learn from themselves and voluminous data that are getting generated from various sources in the present world has led to the emergence of Machine Learning. In Machine Learning, the concept of neural networks plays a significant role in allowing the system to learn from themselves as well as maintaining its speed, and accuracy. The group of neural nets lets a model rectifying its prior decision and make a more accurate prediction next time. Artificial Intelligence is about acquiring knowledge and applying them to ensure success instead of accuracy. It makes the computer intelligent to make smart decisions on its own akin to the decisions made by a human being. The more complex the problem is, the better it is for AI to solve the complexity. On the other hand, Machine Learning is mostly about acquiring knowledge and maintaining better accuracy instead of success. The primary aim is to learn from the data to automate specific tasks. The possibilities around Machine Learning and Neural Networks are endless. A set of sentiments could be understood from raw text. A machine learning application could also listen to music, and even play a piece of appropriate music based on a person’s mood. NLP, a field of AI which has made some ground-breaking innovations in recent years uses Machine Learning to understand the nuances in natural language and learn to respond accordingly. Different sectors like banking, healthcare, manufacturing, etc., are reaping the benefits of Artificial Intelligence, particularly Machine Learning. Several tedious tasks are getting automated through ML which saves both time and money. Machine Learning has been sold these days consistently by marketers even before it has reached its full potential. AI could be seen as something of the old by the marketers who believe Machine Learning is the Holy Grail in the field of analytics. The future is not far when we would see human-like AI. The rapid advancement in technology has taken us closer than ever before to inevitability. The recent progress in the working AI is much down to how Machine Learning operates. Both Artificial Intelligence and Machine Learning has its own business applications and its usage is completely dependent on the requirements of an organization. AI is an age-old concept with Machine Learning picking up the pace in recent times. Companies like TCS, Infosys are yet to unleash the full potential of Machine Learning and trying to incorporate ML in their applications to keep pace with the rapidly growing Analytics space. Conclusion The hype around Artificial Intelligence and Machine Learning are such that various companies and even individuals want to master the skills without even knowing the difference between the two. Often both the terms are misused in the same context. To master Machine Learning, one needs to have a natural intuition about the data, ask the right questions, and find out the correct algorithms to use to build a model. It often doesn’t requiem how computational capacity. On the other hand, AI is about building intelligent systems which require advanced tools and techniques and often used in big companies like Google, Facebook, etc. There is a whole host of resources to master Machine Learning and AI. The Data Science blogs of Dimensionless is a good place to start with. Also, There are Online Data Science Courses which cover the various nitty gritty of Machine Learning.

“The Simple Smart Mirror” is an Alexa voice controlled programmable LED strip with additional smarts: made by builders for builders and their kids. It is NOT just a typical mirror with LED’s. The Simple Smart Mirror is integrated with AWS CI/CD pipeline and serverless backend, including management of Raspberry Pi in your home network. The project focuses in a learning experience - something a parents can do with their kids.

# Free people for your Discord server!  Server owners hate me! But today you'll see this one crazy and simple trick to increase your Discord server's size IMMEDIATELY! Wanna reach the same size as the Café does? **Advertise as much as you can!** Found more? Ask __austinhuang#1076__ for edits. ~~No server owners that hate me kthx~~ ## Websites Sorted in size (Large to Small). * [Discord Servers](http://discservs.co) * Largest (10000+ servers), second-most traffic, and probably oldest * Server owners can bump every 6 hours, *unstable* * Have server message stats * [Discord.me](http://discord.me) * Second-Largest (6000+ servers), most traffic * Server owners can bump every 6 hours * Free custom link for invites * [DiscordList.net](http://discordlist.net) * 3500+ servers, along with bots * Submission by bot * Server owners can bump every 4 hours for free * Can view live messages and per-member activity stats * [DiscordList.me](http://discordlist.me) * 800+ servers * Server owners can bump every 6 hours for free * Free custom link for invites * Server members can vote for servers (using the + button) * [Discord Server Hub](http://discord.shoutwiki.com/wiki/Server_List) * 150+ servers, along with bots * Server owners can create custom pages, support images and fonts * **Manual** Submission using request pages * [Discordea.me](http://discordea.me) * 150+ servers * **Website in Spanish** * Free custom links for invites * [Discord World](https://discord-world.org/servers) * 90 servers * Submission by bot * Server owners can bump every 4 hours for free * [DiscordList.com](http://discordlist.com) * 85 servers * **Manual** Submission by GitHub pull request * [JFN Server List](http://justfornerds.xyz/server-directory) * Submission via "Create Listing" button * ~~[Discord Zone](http://discord.zone/)~~ There's no way to submit a server into it now * ~~Can One-Click Join servers (require login)~~ Removed *Traffic stats based on Alexa and SimilarWeb. All stats are made on December 11, 2016 and will not be updated frequently.* ## Listing Servers Unordered. * [Discord Server List](http://discord.me/list) (Ask an admin) * [Server Central](https://discord.gg/tNBd92m) (#submit-a-server) * [The Portal](https://discord.gg/6HtGJ98) (Just put your server in one category) * [Transfer Station](https://discord.gg/PcJKPrd) (Post in #channel-links or #18plus) * [United Server Listings](https://discord.gg/GM2AqsR) (#submit-server) * [Server Hub](https://discord.gg/vYnZD6W) (Just put your server in one category) * [Invite Archive](https://discord.gg/uebwFbf) (Just put your server in one category) * [Server Savvy](https://discord.gg/qTgqrUA) (#submit-server) * [Advertisement Server](https://discord.gg/3hWkzf5) (#advertise-here) * [Pandora](https://discord.gg/dyrnkrC) (Just put your server in one category)

this is a project made in python, with the focus on create a virtual asistant with the features of the likes of an alexa/siri.

Alexa Skill made in conjunction with the popular Freakonomics Radio podcast

Amazon Alexa Skill made with Udacity that's actually is live on the Alexa Skills store under HvyD.

An Alexa skill build in Python that tells you when your next train is leaving. Made with the schiene python library.

I have made a basic alexa bot with the help of python and some libraries like speech_recognition , pyttsx3 , pywhatkit etc

This is a simplified basic version of Alexa. It's been named Jarvis. Jarvis been made using python libraries. Jarvis can perform tasks like telling you date or time or a joke along with some information on google.

An Alexa bot made to have conversations with people suffering from Mental Health illness

A funny Alexa skill made with Flask-Ask

This is a bot made using Alexa API......It will chat with you

This project is like a Virtual assistant like ALEXA or GOOGLE made with python.

Foodx - Cooking Website with 35k+ Food Data made with React and API based on Spring Boot (Alexa Skill Integration)

A Program Made with python which will automate your tasks via voice command. And can speak with you like alexa or Google assistant. Its name is lily.

For this project, the idea of voice-banking was explored. Voice-banking is the next big step for banks to take to become the bank of tomorrow. A very basic Alexa Skill was made to demonstrate what voice-banking would possibly look like and how users can use it. With this as the base, the concept of being able to detect anomalies in a user's transaction history was researched and a possible solution was explored.

Advertise your Discord server...everywhere! # Get Free people for your Discord server  Here at Pandora we welcome, any people. who owns a server and want's to make it bigger. So, today ill show you a easy, and simple trick to gain more people for your discord server.and increase your server size IMMEDIATELY! **Found more?** ask **𝓲𝓼𝓪𝓪𝓬#5334** for updates. and [Join the Pandora](https://discord.gg/zvSxSk2) for support, and the official server. # [Official Pandora Server](https://discord.gg/zvSxSk2) ## Websites Sorted in size (Not in Order). * [Discord Servers](http://discservs.co) * Largest (10000+ servers), second-most traffic, and possibly the oldest * Server owners can bump every 6 hours, it's very *unstable* * Have server message stats * [Discord.me](http://discord.me) * Second-Largest (6000+ servers), most traffic yet * Server owners can bump every 6 hours * Free custom link for invite links * [DiscordList.net](http://discordlist.net) * 3500+ servers, along with bots * Submission by their bot * Server owners can bump every 4 hours for free * Can view live messages and per-member activity stats * [DiscordList.me](http://discordlist.me) * 800+ servers * Server owners can bump every 6 hours for free * Free custom link for invite links * Server members can vote for servers (using the **+** button) * [Discord Server Hub](http://discord.shoutwiki.com/wiki/Server_List) * 150+ servers, along with bots * Server owners can create custom pages, support images and fonts * **Manual** Submission using request pages * [Discordea.me](http://discordea.me) * 150+ servers * **Website in Spanish** * Free custom links for invitations * [Discord World](https://discord-world.org/servers) * 1000+ servers * Submission by a bot * Server owners can bump every 4 hours for free * [DiscordList.com](http://discordlist.com) * 85 servers * **Manual** Submission by GitHub pull request ## Listing Servers Not, in order. * [Pandora](https://discord.gg/dyrnkrC) (Just put your server in one category) * [Discord Server List](http://discord.me/list) (Ask an admin) * [Server Central](https://discord.gg/tNBd92m) (#submit-a-server) * [The Portal](https://discord.gg/6HtGJ98) (Just put your server in one category) * [Transfer Station](https://discord.gg/PcJKPrd) (Post in #channel-links or #18plus) * [United Server Listings](https://discord.gg/GM2AqsR) (#submit-server) * [Server Hub](https://discord.gg/vYnZD6W) (Just put your server in one category) * [Invite Archive](https://discord.gg/uebwFbf) (Just put your server in one category) * [Server Savvy](https://discord.gg/qTgqrUA) (#submit-server) *Traffic stats based on Alexa and SimilarWeb. All stats are made on December 11, 2016 and will not be updated frequently.* ## Efficiency **Server Info for PαnĐσra** thanks to [Justibot](https://discordapp.com/oauth2/authorize?client_id=277908880359686145&scope=bot&permissions=0) for stats. - Owner: 𝒾𝓈𝒶𝒶𝒸 :diamonds: - Created at: 3/5/17 4:09:15 AM +00:00 - Members: 289 - Humans:274 - Bots:15 - Region: us-central ## Others * [An iOS app](https://itunes.apple.com/ca/app/server-list-for-discord/id1148794691?mt=8)

No description available

Alexa made with python

Alexa Skill sample made with Alexa Skill Flow Builder

An Alexa app for stock quotes. Made with alexa_rubykit.

Alexa skill sample made with Litexa

Amazon Alexa Skill made with Python3.7

Sermon of the Day Alexa Skill source code. Made with Alexa Python SDK.

Alexa skill made with a C# Azure Function

Alexa clone made with python. Still under development.