Code Cache: Attendance & Geofencing System

Authors

  • Prabin Kumar Das Author
  • Soumya Prakash Behera Author
  • Dr. Soumendra Prasad Rout Author

DOI:

https://doi.org/10.64751/apxqww68

Abstract

The rapid advancement of digital workplace technologies and web-based security systems has significantly increased the demand for intelligent, real-time attendance and personnel tracking solutions. Traditional attendance systems often rely on manual entry or simple biometric devices that lack location verification, geospatial intelligence, and multi-layered security enforcement. This paper presents the design and implementation of Code Cache, a high-security, real-time Attendance Management and Geofencing System built to ensure authenticated personnel are physically present within designated work zones. The proposed system integrates dynamic geofencing technology, multi-layered authentication mechanisms, and an automated security alert pipeline within a full-stack web application. Code Cache features an Admin-Employee dualecosystem supporting live location tracking, OTP-verified logins, intelligent breach detection, automated email communication, and comprehensive request management workflows. The system is developed using React 19, Node.js, Express 5, and MongoDB, ensuring scalability, modularity, responsive design, and secure API communication. Experimental evaluation demonstrates that the system performs efficiently in terms of geofence accuracy, response time, breach detection latency, and overall system security.

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Published

2026-06-06

How to Cite

Prabin Kumar Das, Soumya Prakash Behera, & Dr. Soumendra Prasad Rout. (2026). Code Cache: Attendance & Geofencing System. International Journal of AI EBioMedicine Innovations, 2(2), 40-45. https://doi.org/10.64751/apxqww68