This project demonstrates training a basic binary classifier using TensorFlow and deploying it for inference on iOS devices. It includes Python training scripts that work with the voice recognition dataset, exports a trained model, and provides two iOS apps—one using the TensorFlow C++ API and another using Metal for on-device inference. The workflow covers data preparation, model training, evaluation, and mobile deployment.