Authors: Himanshu Kumar Rai, Harsh Goyal, Dr. Anshu Gupta
Abstract: This research proposes a Geo‑AI based smart attendance monitoring system that will integrate Artificial Intelligence (AI) with Global Positioning System (GPS) geofencing to provide accurate, contactless, and secure attendance tracking. The proposed system will address persistent challenges such as proxy attendance, location spoofing via mock‑GPS tools, and manual recording errors by combining AI‑based facial recognition (with liveness analysis) and geolocation verification. A mobile front end will enable frictionless check‑ins, while a cloud back end will ensure secure storage, auditability, and real‑time analytics. We detail the proposed architecture, algorithms, and implementation plan that will use a React Native application, Node.js/Express services, MongoDB storage, and Python micro‑services for inference and anomaly detection. If successfully implemented, in a controlled deployment across two office sites the system is expected to achieve 98% attendance‑marking accuracy, is projected to reduce administrative overhead by approximately 60%, and is anticipated to deliver alert latencies below five seconds. We will compare our approach with RFID, fingerprint biometrics, and GPS‑only mobile apps, and we will report an ablation analysis to quantify the benefits of liveness checks and geofence validation.’
DOI: http://doi.org/10.5281/zenodo.17679353
