This project presents a real-time face attendance system that automates attendance tracking using facial recognition technology. It replaces traditional manual or ID-based systems with an efficient solution that detects and records attendance through a camera in real time. The system uses OpenCV and face recognition libraries for detection, JavaScript for the frontend, and Firebase for backend data storage. It improves accuracy, reduces proxy attendance, and enhances overall efficiency in environments like schools, offices, and events.