Machine Learning for Android App development Using ML Kit

English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 1h 59m | 708 MB

Add intelligent features to your Android apps with ML Kit

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.

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.

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.

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.

What You Will Learn

• Explore how machine learning is changing the world we live in.
• Configure UIs with camera settings and use them in your app.
• Implement text recognition and deploy it with Firebase on the cloud.
• Perform face detection by adding it to your app and trying it out!
• Scan through barcodes by adding the barcode scanning feature to your app.
• Identify images by image labeling and deploy them with Firebase on the cloud.
• Add features such as landmark recognition to your apps to identify a specific landmark.