Integrate Machine Learning to Android App with Confidence | Part 2

This is Part 2 of a video that walks through how to implement and integrate python machine learning with Android environment. Part 2 covers Android Front End integration with Python Machine Learning in the back-end. Flask, Chaquopy, Java, Python and Android Studio are used as development tools. 00:00 Intro 00:03 Architecture Diagram 00:07 Android app for ML integration 00:40 Java skeleton to call Python module 01:36 Python module implementation 02:10 Gradle config requirements 02:39 Python caller to REST API for ML Back-End 06:47 Java-Chaquopy wrapper to integrate Python module 10:21 Running the program without Android Permissions 10:44 Add Internet Access Permissions to Android Manifest 11:40 Running the program with Android Permissions 11:55 Successful Android-Python ML integration 12:55 Outro https://www.buymeacoffee.com/longwayhome