Contact person: Programming a website project to identify the complete and incomplete face in real time

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Location: Oum el Bouaghi, Algeria

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"This project aims to develop a real-time web application that detects human faces from a live video stream and classifies them as complete (fully visible) or incomplete (partially visible, occluded, or cut off) using computer vision techniques. The system uses JavaScript and WebRTC for live video capture and [login to view URL] or MediaPipe for face detection and analysis directly in the browser. The application highlights detected faces with bounding boxes and labels them accordingly. It can be deployed for security, surveillance, attendance systems, or user-interface monitoring." (client-provided description)