Icssdafᵣeal-time campus attendance monitoring using QR, GPS, and face recognition algorithm

Traditional ways of taking attendance like calling out names or using sign-in sheets take up a lot 1of time, often have mistaken, and can be easily faked when students sign in for friends who aren't there. Even some digital systems aren’t much better, since students can share QR codes or just leave their phone behind to trick the system. RTCAM tackles these issues by bringing together three technologies: QR codes (using the ISO/IEC 18004 standard), GPS with geofencing (calculated by the Haversine formula), and facial recognition (with FaceNet, Eigenfaces, or LBPH). Instead of doing roll calls, the lecturer creates a unique QR code for each class. Students in the classroom scan the code with their phones, and at the same time, the system checks their location and matches their face to their registered profile. All attendance data is securely stored and managed using Firebase’s real-time database, where CRUD operations keep records up to date. Lecturers can see attendance updates immediately on their dashboard. Secure user authentication is handled through OAuth 2.0 and JWT. This approach makes attendance fast, dependable, and automated saving time, stopping cheating, and giving lecturers accurate, real-time records.