AI Powered Student Helpdesk Portal

Authors

  • Ms. B. Pravalika Reddy Author
  • Ms. K. Shirisha Author
  • P. Raaga Sai Trishal Reddy Author
  • T. Bhanu Prakash Author

DOI:

https://doi.org/10.64751/ijdim.2026.v5.n2(3).1072

Abstract

The rapid growth of educational institutions has created a demand for efficient and accessible student support systems. Traditional helpdesks are often limited by human availability, leading to delays in resolving queries related to examinations, timetables, fees, and academic resources. This project proposes the development of an AI-Powered Student Helpdesk Portal, a web-based application integrated with a centralized database and intelligent chatbot. The system leverages Natural Language Processing (NLP) techniques to understand and respond to student queries in real time, ensuring 24/7 availability and reducing dependency on manual intervention. The portal provides a user-friendly interface for students, faculty, and administrators, with role-based access to maintain security and relevance of information. A relational database stores FAQs, student records, and query logs, enabling fast retrieval and continuous improvement of responses. The backend, built using Python frameworks, connects the AI engine with the database, while the frontend ensures seamless interaction through a responsive design. By automating query resolution and maintaining detailed analytics of student interactions, the system enhances institutional efficiency, improves student satisfaction, and reduces workload on administrative staff. Future enhancements include voice-enabled support, multilingual capabilities, and integration with popular messaging platforms. This project demonstrates the effective application of AI, web technologies, and database management to solve real-world challenges in education.

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Published

2026-06-23

How to Cite

Ms. B. Pravalika Reddy, Ms. K. Shirisha, P. Raaga Sai Trishal Reddy, & T. Bhanu Prakash. (2026). AI Powered Student Helpdesk Portal. International Journal of Data Science and IoT Management System, 5(2(3), 406-412. https://doi.org/10.64751/ijdim.2026.v5.n2(3).1072