Contactless Attendance Management Using AI-Based Face Recognition

The Real-Time Face-Based Attendance System is a creative solution designed for attendance management systems. Conventional methods of attendance tracking, such as manual registers systems, are often prone to errors and fraud. This project addresses the challenges by giving a contactless, automated, and accurate approach to attendance management.The system is developed using Python and Django, an powerful web framework, and integrates it with facial recognition libraries such as OpenCV and FaceNet. It captures live video from a camera, detects faces in real-time, and matches them against a pre-registered database of students. Once the student is authorized , attendance is automatically recorded in the SQLite database. The system is sensitive to lighting conditions and partial facial blurring which impact on system accuracy. Besides all the errors, experimental results indicate that the model is achieving 95% accuracy under controlled conditions which makes the system reliable and easy to use.