Voice-controlled Home Automation Using IBM Watson, Docker, IFTTT, and Serverless

Explore the architecture and technologies behind voice-controlled home automation in this conference talk. Learn how to build natural language interfaces for IoT devices using serverless frameworks, IBM Watson, Docker, IFTTT, and OpenWhisk. Discover the basics of architecture and deployment processes, and examine practical use cases for home automation, security, and web applications. Gain insights into pairing OpenWhisk with IBM Watson's cognitive natural language services to create your own version of Alexa or Google Home. Delve into real-time event-driven messaging with MQTT and IFTTT, and understand how these technologies can be leveraged to create innovative IoT solutions. Follow along as speakers Kalonji Bankole and Prashant Khanal from IBM demonstrate the implementation process, covering topics such as speech-to-text conversion, natural language classification, training data, communication protocols, web triggers, and architecture testing.

Introduction
Architecture Overview
Demo
Architecture
IBM Watson
Speechtotext
Natural Language Classifier
Training Data
Classes
Communication
Web Triggers
Extending the Architecture
Testing the Architecture
Technical Recipes
Questions