Book Image

Artificial Intelligence for IoT Cookbook

By : Michael Roshak
Book Image

Artificial Intelligence for IoT Cookbook

By: Michael Roshak

Overview of this book

Artificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users’ lives easier. With this AI cookbook, you’ll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment. You’ll use real-life datasets from smart homes, industrial IoT, and smart devices to train and evaluate simple to complex models and make predictions using trained models. Later chapters will take you through the key challenges faced while implementing machine learning, deep learning, and other AI techniques, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this, you’ll learn how to deploy models and improve their performance with ease. By the end of this book, you’ll be able to package and deploy end-to-end AI apps and apply best practice solutions to common IoT problems.
Table of Contents (11 chapters)

Getting ready

In this recipe, we are going to use the Arduino framework to program a bare-metal IoT solution. On your PC, you will need to install the Arduino integrated development environment (IDE). This will install the supporting software so that we can program the ESP32 using the Arduino framework. Next, we will install Visual Studio Code (VS Code). The VS Code IDE has an extension that makes board selection and library add-in easy. It also has a serial monitor and several built-in tools.

Once you have installed the Arduino IDE and VS Code, you need to find the required extension tool in VS Code. Then search for platformIO, as shown in the following screenshot:

Once you've installed PlatformIO IDE, connect your ESP32 to your computer via USB. Then, find the PlatformIO button in the left panel. Next, from the Quick Access menu, click on Open:

From here, you can find the main PlatformIO window and click on Open Project:

The startup wizard will take you through...