Face detection is the process of detecting and locating faces in an image or video stream. It is a key technology in many applications, including security, surveillance, and human-computer interaction. In recent years, deep learning-based approaches have achieved state-of-the-art performance on face detection tasks. In this Python project, we will use a deep neural network to detect faces in images and videos. Specifically, we will use the popular deep learning library, TensorFlow, to implement a face detection model based on the Single Shot Multibox Detector (SSD) architecture. By the end of this project, you will have a working face detection model that can detect faces in images and videos with high accuracy.