Abstract
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 "risk score" for student failure, enabling early educator intervention; (2) Personalized Recommendations, which dynamically suggests remedial study resources based on identified weak subjects; (3) An Interactive NLP Chatbot, providing students with instant, context-aware responses regarding their academic schedule and records; and (4) Sentiment Analysis, which aggregates student feedback to provide qualitative insights to administration. This paper demonstrates how integrating modern web frameworks with predictive modeling can significantly enhance student engagement and academic outcomes in higher education institutions.
Keywords
Student Management System, Artificial Intelligence, Machine Learning, Educational Data Mining, Spring Boot, Angular, Performance Prediction, NLP Chatbot.
Citations
IRE Journals:
Vidyasagar Kamble, Shreyas Mane, Prof. D. J. Waghmare "AI Powered Student Management System" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 16-24 https://doi.org/10.64388/IREV9I6-1712469
IEEE:
Vidyasagar Kamble, Shreyas Mane, Prof. D. J. Waghmare
"AI Powered Student Management System" Iconic Research And Engineering Journals, 9(6) https://doi.org/10.64388/IREV9I6-1712469
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