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Research Paper | Computer Science and Engineering | Volume 15 Issue 5, May 2026 | Pages: 141 - 143 | India
AI Smart ERP System
Abstract: This paper presents an AI-powered Smart Student ERP system designed to improve academic management through automation and predictive analytics. Traditional ERP systems focus on data handling and lack intelligent decision-making capabilities. The proposed system integrates Natural Language Processing (NLP), Machine Learning (ML), and Large Language Models (LLMs) to enable automated query handling, performance prediction, fee defaulter detection, and attendance monitoring. It includes an AI-driven chatbot for real-time responses and predictive models for proactive academic support. Built using a Spring Boot backend with JWT security and a React frontend, the system automates up to 70?80% of administrative tasks while improving efficiency and decision-making.
Keywords: Student ERP, Artificial Intelligence, Machine Learning, Natural Language Processing, Predictive Analytics, Educational Technology, Automation
How to Cite?: Dr Revati Deshpande, Aryan Nagare, Niraj Koli, Amir Mulani, Shubham Adhav, "AI Smart ERP System", Volume 15 Issue 5, May 2026, International Journal of Science and Research (IJSR), Pages: 141-143, https://www.ijsr.net/getabstract.php?paperid=SR26407140953, DOI: https://dx.doi.org/10.21275/SR26407140953