🔈 The React for Voice and Chat: Build Apps for Alexa, Messenger, Instagram, the Web, and more

A framework for Alexa (Amazon Echo) apps using Node.js

An Alexa app server for alexa-app.

A library and sample app to abstract access to the Amazon Alexa service for Android applications.

python implementation of alexa voice service app, 支持DuerOS

Amazon Echo Alexa's App Kit Ruby Implementation

Alexa (Amazon Echo) app for interacting with a Plex Server and controlling client playback

Library for interacting with Alexa Voice Service (AVS) in the browser.

Set of classes to make creating Amazon Alexa Skills Kit (ASK) applications easier with Laravel and Lumen

ioBroker adapter to connect to several small and cheap Wifi devices that care connected to the Tuya Cloud and mostly use the Smartlife App/Alexa-Skill

Amazon Echo Alexa's App Kit NodeJS Implementation

An easy to use Amazon Alexa Skill Boilerplate for fast skill creation

A sample iOS/Swift3 app that brings Alexa Voice Service to your phone.

An Java-based app to communicate with Amazon Alexa for devices such as the Amazon Echo

Voice Apps (Actions on Google, Alexa Skill) of Internet Archive. Just say: "Ok Google, Ask Internet Archive to Play Jazz" or "Alexa, Ask Internet Internet Archive to play Instrumental Music"

A Skill for Amazon Alexa that can control Logitech Harmony Remote.

Alexa (or other Smart Speakers) tell you the time without asking every hour. Please ⭐️if you like my app :)

A skill to voice control your TiVo DVRs through Alexa-enabled devices like the Amazon Echo, Dot, or even the Amazon mobile app.

Homebridge plugin for my Yamaha Receiver optimized for use with the Home App and Alexa

A chatbot (also known as a talkbot, chatterbot, Bot, IM bot, interactive agent, or Artificial Conversational Entity)The classic historic early chatbots are ELIZA (1966) and PARRY (1972).More recent notable programs include A.L.I.C.E., Jabberwacky and D.U.D.E (Agence Nationale de la Recherche and CNRS 2006). While ELIZA and PARRY were used exclusively to simulate typed conversation, many chatbots now include functional features such as games and web searching abilities. In 1984, a book called The Policeman's Beard is Half Constructed was published, allegedly written by the chatbot Racter (though the program as released would not have been capable of doing so). One pertinent field of AI research is natural language processing. Usually, weak AI fields employ specialized software or programming languages created specifically for the narrow function required. For example, A.L.I.C.E. uses a markup language called AIML, which is specific to its function as a conversational agent, and has since been adopted by various other developers of, so called, Alicebots. Nevertheless, A.L.I.C.E. is still purely based on pattern matching techniques without any reasoning capabilities, the same technique ELIZA was using back in 1966. This is not strong AI, which would require sapience and logical reasoning abilities. Jabberwacky learns new responses and context based on real-time user interactions, rather than being driven from a static database. Some more recent chatbots also combine real-time learning with evolutionary algorithms that optimise their ability to communicate based on each conversation held. Still, there is currently no general purpose conversational artificial intelligence, and some software developers focus on the practical aspect, information retrieval. Chatbot competitions focus on the Turing test or more specific goals. Two such annual contests are the Loebner Prize and The Chatterbox Challenge (offline since 2015, materials can still be found from web archives). According to Forrester (2015), AI will replace 16 percent of American jobs by the end of the decade.Chatbots have been used in applications such as customer service, sales and product education. However, a study conducted by Narrative Science in 2015 found that 80 percent of their respondents believe AI improves worker performance and creates jobs.[citation needed] is a computer program or an artificial intelligence which conducts a conversation via auditory or textual methods. Such programs are often designed to convincingly simulate how a human would behave as a conversational partner, thereby passing the Turing test. Chatbots are typically used in dialog systems for various practical purposes including customer service or information acquisition. Some chatterbots use sophisticated natural language processing systems, but many simpler systems scan for keywords within the input, then pull a reply with the most matching keywords, or the most similar wording pattern, from a database. The term "ChatterBot" was originally coined by Michael Mauldin (creator of the first Verbot, Julia) in 1994 to describe these conversational programs.Today, most chatbots are either accessed via virtual assistants such as Google Assistant and Amazon Alexa, via messaging apps such as Facebook Messenger or WeChat, or via individual organizations' apps and websites. Chatbots can be classified into usage categories such as conversational commerce (e-commerce via chat), analytics, communication, customer support, design, developer tools, education, entertainment, finance, food, games, health, HR, marketing, news, personal, productivity, shopping, social, sports, travel and utilities. Background

An example Alexa Skill project using the alexa-app module with Express.

Self-host an alexa app server

This Repo contains the code written to control your home appliance using Alexa smart speaker. In this you'll find the code for controlling the appliances with Internet and without internet as well.

An Alexa app to control a Sonos

Open source IoT project using Particle.io Photons, Alexa, and iOS apps.

A Node.js development environment to support BDD of Amazon Alexa Skills authored in JavaScript and hosted locally for testing and in AWS Lambda for production with support for AWS DynamoDB, complete with test scripts and development and deployment tasks in gulp. Based on matt-kruse's delightful alexa-app and alexa-app-server.

Alexa client in your browser. Django app.

Ask amazon echo to locate your icloud devices, and send an alarm.

Using python OpenCV module to train and recognize up to 7 faces, generate automated voice feedback for each user, and click on smart home appliance trigger buttons through the windows ALEXA app.

Centralized notification management system for automations. Configure device groups (Admin, Family) once and send notifications to mobile apps, Alexa devices, and TTS speakers with customizable critical alerts and volume control.