Smart Campus Face Recognition System for Automated Attendance Tracking and Security Enhancement

This project presents a Smart Campus Face Recognition System designed to automate attendance tracking and enhance campus security using artificial intelligence and computer vision. The system automatically detects and recognizes student faces to mark attendance in real time, generate Excel reports, and send notifications to parents. It includes division-based filtering, uniform detection, and tracking of late or half-day arrivals to ensure accuracy and discipline. By integrating AI, image processing, and data analytics, the system reduces manual effort, prevents manipulation, and improves transparency, accountability, and communication within educational institutions.