Face Recognition Attendance System

This project uses computer vision and deep learning to automate student attendance using facial recognition. Developed with Python and OpenCV, it uses Haar Cascade classifiers for face detection and FaceNet for facial feature extraction and identity verification. The system records attendance automatically, reduces manual tracking, and provides a user-friendly interface for managing attendance records and monitoring recognized students.