If you think shipping AI to an Android device is as simple as dropping a .tflite file into your assets folder and calling a predict() method, you are in for a rude awakening.

In the world of Edge AI, the transition from a trained model in a high-precision Python environment (like PyTorch or TensorFlow) to a production-ready Android binary is not...