TensorFlow Lite Mobile

TensorFlow Lite (TFLite) is Google's lightweight machine learning framework for mobile and edge devices. It allows developers to run pre-trained models on Android, iOS, Raspberry Pi, and other constrained environments. TFLite handles model quantization, optimization, and provides APIs for inference in multiple languages (C++, Python, Swift, Kotlin). TFLite enables on-device ML: models run locally without server calls, providing privacy, latency benefits, and offline functionality. Applications include image recognition, object detection, pose estimation, speech recognition, and anomaly detection on edge devices.