Design and Implementation of a Scalable Web-Based Attendance Monitoring System Utilizing Node.js and MongoDB Architectures

Abstract: This paper presents the architectural design and implementation of a robust, scalable web-based attendance monitoring system leveraging the asynchronous, event-driven capabilities of Node.js and the flexible, document-oriented data model of MongoDB. Traditional attendance methods suffer from manual inefficiencies, absence of real-time accessibility, and vulnerability to proxy attendance. The proposed system integrates a responsive React.js front-end with a resilient Node.js/Express.js back-end, providing real-time attendance logging, comprehensive reporting functionalities, and secure role-based access control (RBAC). A microservices-oriented design emphasises modularity and scalability. Experimental evaluation on 1,500 facial images across 50 subjects demonstrates >95% recognition accuracy and average API response times below 200 ms under 50 concurrent users, confirming readiness for real-world educational deployment.

Keywords: Attendance management; web application; Node.js; MongoDB; scalability; real-time monitoring; facial recognition; role-based access control; microservices