This repository provides an example of building a machine learning model for MNIST handwritten digit classification and deploying it to Android. It includes Python scripts to train the model and integrates TensorFlow for Android inference. The project demonstrates how to use pre-trained models within a mobile application for real-time digit recognition from user-drawn input.