This project implements a real-time hand detection system using Single Shot Multibox Detector (SSD) architecture trained with Tensorflow’s Object Detection API. The model is trained on the Egohands dataset for egocentric viewpoint detection and achieves real-time performance (16-21 FPS) on CPU. Scripts for training, inference, and dataset preparation are provided alongside pre-trained model checkpoints.