Book Image

Machine Learning for Android App development Using ML Kit [Video]

By : Yusuf Saber
1 (1)
Book Image

Machine Learning for Android App development Using ML Kit [Video]

1 (1)
By: Yusuf Saber

Overview of this book

<p>It's crazy to see how Artificial Intelligence and Machine Learning are moving so fast and becoming the next big thing. The focus is on putting AI and Machine Learning into people's hands in their daily lives by bringing it to their mobile devices.</p> <p>ML Kit makes it easy to apply ML techniques to your apps by bringing Google's ML technologies together in a single SDK. With ML Kit you can have features such as text recognition, face recognition, barcode scanning, image labeling, and landmark recognition at your fingertips in your apps. In this course, you are going to implement all these features in your Android applications using ML Kit.</p> <p>After completing this course, you will be confident enough to build Android applications equipped with in-built Machine Learning features, providing an amazing user experience. You will be able to go into the world and create your own useful Machine Learning apps using ML Kit.</p> <p>All the codes are present at:&nbsp;<a href="https://github.com/PacktPublishing/Machine-Learning-for-Android-App-development-Using-ML-Kit" target="_blank">https://github.com/PacktPublishing/Machine-Learning-for-Android-App-development-Using-ML-Kit</a></p> <h1>Style and Approach</h1> <p>The course covers several practical examples; we will build an app that covers most aspects of ML Kit so that you can then go into the world and create your own useful machine learning app with ML Kit. You will gain a detailed understanding of how to add ML Kit features in your Android apps.</p>
Table of Contents (7 chapters)
Chapter 2
Setting Up the App
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Section 1
Camera Setup
Before looking at the ML Kit code, we should have an understanding of how the camera is set up in the app. - Look at how the camera is set up in the code - Look at how the camera feed is started - Discuss the graphic overlay