Adaptive Mobile User Interface based on Machine Learning Model (Multi-agent Reinforcement Learning Approach)
A simple Kivy Python application that adapts a tiled interface based on the number of clicks (a simple frequency analysis). The number of clicks on the button is the criterion of adaptation. We adapt the interface by a simple permutation, which varies to bring the buttons with the largest number of clicks closer to one of the 4 corners of the screen. The preferred edge setting is selected using the left, right, top, bottom keys.
Version 0.0.2.0 (08.02.2022)
Version 0.0.1.6 (28.12.2021)
Presplash-promo
You can build for Android using buildozer on Linux.
Follow the instructions for your platform here
Create a new buildozer.spec file or use the example one from the repo.
buildozer init
Make the following changes to the buildozer.spec file
source.include_exts = py,png,jpg,kv,atlas
requirements = python3,kivy
Change the architecture you are building for to match that of your device or emulator (f.e. arm64-v8a)
android.arch = arm64-v8a
Build the APK
buildozer android debug
and install it with
adb install bin/myapp-0.1-x86-debug.apk