Geo Attendance A Multi Signal Attendance Verification System Using Geofencing Facial Recognition and Anti Spoofing

Traditional attendance systems that rely on a single verification method, like a fingerprint scan, an RFID card, or a GPS check-in, are vulnerable to fraud. This paper introduces Geo-Attendance, a mobile attendance system that reduces fraud by combining five independent data signals at once: GPS location, facial recognition, movement patterns, device activity, and location consistency. Instead of relying on any single source, the system calculates a Presence Score (0–100) to show how confident it is that an individual is really at their assigned workplace. The system has three components: a React Native mobile application that implements a five-layer location validation process, an Express.js backend server that hosts fraud detection services and the scoring engine, and a React admin dashboard for real-time monitoring. Evaluation results show that a legitimate user gets a score of about 92/100, while a GPS spoofing attack only scores 38/100, which is well below the 80-point threshold for being classified as "Present."