Current Volume 9
Abstract
Traditional attendance management systems in educational institutions depend heavily on manual roll calls and paper-based registers. These approaches are error-prone, time-intensive, susceptible to proxy attendance, and produce data that is difficult to aggregate or analyse at scale. As institutions accelerate digital transformation, demand for reliable, role-aware, web-based attendance platforms has grown substantially. This paper presents the complete design, implementation, and empirical evaluation of an AI Smart Attendance System developed using Full Stack Java technologies — specifically Spring Boot 3.x, Hibernate ORM 6.x, MySQL 8.0, and a responsive Bootstrap 5 front-end. The system architecture follows the classic three-tier model separating the Presentation Layer (HTML5/CSS3/JavaScript), the Application Layer (Spring Boot MVC with Spring Data JPA), and the Data Layer (MySQL with Hibernate ORM). A RESTful API design pattern provides clean decoupling between client and server, enabling future integration with mobile applications or third-party academic systems without structural changes. Role-based access control (RBAC) is enforced for three user categories — Administrator, Faculty, and Student — each with dedicated dashboards and permission boundaries validated at the API level. Evaluation through functional and performance testing produced a 100% pass rate across all ten planned test cases. REST API GET endpoints averaged under 120 ms and POST endpoints under 200 ms under 50+ concurrent users. Dashboard pages loaded in under 1.8 seconds, and attendance-report database queries completed within 300 ms. The findings validate that a Spring Boot/MySQL full-stack architecture provides a robust, scalable, and maintainable foundation for enterprise-grade educational management systems.
Keywords
Attendance Management System, Bootstrap 5, Educational Technology, Full Stack Java, Hibernate ORM, MySQL, RESTful API, Role-Based Access Control, Spring Boot, Spring Data JPA, SDLC, Web Application
Citations
IRE Journals:
Kuldeep Khalotiya, Manish Rana, Nitin Kumar Singh, Shubham Baisakh, Sonali Kumari "AI Smart Attendance System Using Full Stack Java: Design, Implementation, and Evaluation" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 3639-3647 https://doi.org/10.64388/IREV9I10-1717082
IEEE:
Kuldeep Khalotiya, Manish Rana, Nitin Kumar Singh, Shubham Baisakh, Sonali Kumari
"AI Smart Attendance System Using Full Stack Java: Design, Implementation, and Evaluation" Iconic Research And Engineering Journals, 9(10) https://doi.org/10.64388/IREV9I10-1717082
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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