Hi everyone! Today I want to share practical experience in integrating machine learning models into mobile ecosystems. I recently completed the research and development of two MVP applications (on Native Android and Flutter), defended this project at an international conference and now I want to share my integration experience with you.
In this article, we will analyze in detail the difference between local and server AI computing, compare the implementation features of the native layer on Kotlin and the cross-platform layer on Dart, and also analyze non-obvious bugs that you may encounter when working with the camera and file system.
If you are interested in a specific platform, you can skip directly to the relevant section in the navigation below. The source code of both projects is open under the MIT license, links to repositories (GitHub/GitLab) can be found below.
Navigation:
Analysis of approaches (On-Device / On-Server)
