NanoDet is a real-time object detection neural network optimized for mobile devices. This project packages it as an Android application using the ncnn inference framework and opencv-mobile, enabling direct camera-based detection on mobile hardware. The models are manually adapted for dynamic input shapes and include documentation on CPU versus GPU performance tradeoffs.