AI Powered Student Management System

Traditional Student Management Systems (SMS) typically function as passive data repositories, focusing primarily on administrative record-keeping such as attendance logs and grade storage. This paper proposes the development of an AI powered Student Management System, a comprehensive web-based platform that evolves the standard SMS into a proactive educational tool using Artificial Intelligence (AI) and Machine Learning (ML). The system is architected as a decoupled full-stack application, utilizing Angular 19 for a responsive user interface, Spring Boot for robust RESTful backend services, and MySQL for relational data persistence. Security is enforced through JWT-based stateless authentication with granular Role-Based Access Control (RBAC) for Administrators, Teachers, and Students. The core innovation lies in the integration of a dedicated Python AI microservice leveraging PyTorch and Hugging Face Transformers. This integration enables four key intelligent features: (1) Performance Prediction, which utilizes historical attendance and assessment data to calculate a