This project implements real-time face detection using YOLOv3, a deep learning object detection algorithm. It leverages OpenCV’s dnn module to run inference with a pre-trained model that was trained on the WIDER FACE benchmark dataset. The system detects faces in images and video streams, supporting multiple dependency frameworks including TensorFlow, Keras, and OpenCV.