Book Image

Getting Started with Python for the Internet of Things

By : Tim Cox, Steven Lawrence Fernandes, Sai Yamanoor, Srihari Yamanoor, Prof. Diwakar Vaish
Book Image

Getting Started with Python for the Internet of Things

By: Tim Cox, Steven Lawrence Fernandes, Sai Yamanoor, Srihari Yamanoor, Prof. Diwakar Vaish

Overview of this book

This Learning Path takes you on a journey in the world of robotics and teaches you all that you can achieve with Raspberry Pi and Python. It teaches you to harness the power of Python with the Raspberry Pi 3 and the Raspberry Pi zero to build superlative automation systems that can transform your business. You will learn to create text classifiers, predict sentiment in words, and develop applications with the Tkinter library. Things will get more interesting when you build a human face detection and recognition system and a home automation system in Python, where different appliances are controlled using the Raspberry Pi. With such diverse robotics projects, you'll grasp the basics of robotics and its functions, and understand the integration of robotics with the IoT environment. By the end of this Learning Path, you will have covered everything from configuring a robotic controller, to creating a self-driven robotic vehicle using Python. • Raspberry Pi 3 Cookbook for Python Programmers - Third Edition by Tim Cox, Dr. Steven Lawrence Fernandes • Python Programming with Raspberry Pi by Sai Yamanoor, Srihari Yamanoor • Python Robotics Projects by Prof. Diwakar Vaish
Table of Contents (37 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Making Jarvis understand our voice


Voice is an essence of communication. It helps us transfer huge amounts of data in a very short period of time. It is certainly faster and easier than typing. Hence, more and more companies are working toward making systems that understands human voice and language and work according to them. It is certainly not easy because of the huge variations that are present in the language; however, we have come a considerable distance. So without much time, let's make our system get ready to recognize our voice. 

So here, we would be using an API from Google Voice. As you may know, Google is really good at understanding what you say. Like, very literally. So it makes sense to use their API. Now, the way it works is very simple. We capture the voice, and we convert it into the text. Then, we compare if the text is similar to something we have defined in the configuration file. If it matches with anything, the bash command associated with it will be executed. 

First...