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AI Smart Attendance System Using Full Stack Java: Design, Implementation, and Evaluation
Subject area: Science,Engineering and Technology · Area of research: AI, Java Full Stack Development
DOI: https://doi.org/10.64388/IREV9I10-1717082
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
How to cite this paper
@article{1717082,
author = {Kuldeep Khalotiya, Manish Rana, Nitin Kumar Singh, Shubham Baisakh, Sonali Kumari},
title = {AI Smart Attendance System Using Full Stack Java: Design, Implementation, and Evaluation},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {3639-3647},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1717082.pdf},
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},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1717082}
}