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@article{194500,
        author = {Danish Idrisi and Kaustubh Patil and Sabir Shaikh and Kundan Bhagat},
        title = {Ai Based Attendance System Using Geo Location},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {4279-4283},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194500},
        abstract = {The proposed approach is to secure attendance monitoring in educational institutions by using artificial Intelligence (AI) system that uses context-awareness.  This system combines a probabilistic trust score engine and HMAC-SHA256 cryptographically fingerprinting devices to accurately verify a student’s identity and prevent proxy attendance from being attempted. It also protects against GPS spoofing and falsifying the location of a student. Through experiments on our system demonstrated that it provides for a smooth experience for students, reduces attendance fraud, allows for faster attendance session setups, and supports the effective management of attendance in an institutional environment.},
        keywords = {Device Fingerprinting, GPS Geofencing, Trust Score Engine, Proxy Attendance Detection, Multi-Factor Verification, Secure Attendance Management.},
        month = {March},
        }