AI-Integrated Secure Employee Management System Using Spring Boot with Role-Based Access Control

This paper presents the design and development of an AI-integrated Employee Management System (EMS) that enhances organizational efficiency through secure, role-based access and intelligent decision-making capabilities. The system is built using a modern full-stack architecture, with React and JavaScript for the frontend, and Java with Spring Boot for the backend, while PostgreSQL is used for robust and scalable data management. To ensure security and controlled access, the system implements JSON Web Token (JWT)-based authentication combined with Role-Based Access Control (RBAC), supporting multiple user roles such as Admin, Manager, HR, and Employee. The application follows RESTful principles and integrates AI functionalities using Spring AI / REST AI services to provide advanced automation and insights.