International Journal of Computer Techniques Volume 12 Issue 3 | AI-Powered College Chatbot
AI-Powered College Chatbot
International Journal of Computer Techniques – Volume 12 Issue 3, May – June 2025
ISSN: 2394-2231 | https://ijctjournal.org
Abstract
The JCEP AI Chatbot is a **web-based intelligent assistant** designed to simplify communication between students and educational institutions. It utilizes **Natural Language Processing (NLP)**, **LLaMA models**, and **machine learning** to understand and reply to student queries. Deployed using **Flask**, the assistant responds to frequently asked questions and dynamically generates AI-powered responses when necessary. This solution offers a scalable alternative to traditional administrative inquiry systems while supporting a feedback loop, fuzzy search, and user accessibility via the college website or mobile app.
Keywords
Chatbot, NLP, Flask, LLaMA, Automation, AI Assistant, Web Application
Conclusion
This paper presents an AI chatbot that streamlines communication by handling repetitive questions related to college admission, exams, fees, and facilities. Built with Python Flask and integrated with a fine-tuned LLaMA model, the chatbot offers real-time interaction, multi-role support (students, faculty, parents), and offline extensibility. The result is a practical, privacy-conscious, and time-saving tool that reduces manual workload for staff while improving satisfaction and access for end-users.
References
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- Weizenbaum, J. (1966). ELIZA – A computer program for natural language communication. Communications of the ACM.
- Touvron, H. et al. (2023). LLaMA: Open and Efficient Foundation Language Models. arXiv:2302.13971.
- Bhavsar, H., & Detroja, K. (2020). AI Chatbot for College Enquiry System Using Python. IJSER, 11(6), 400–405.
- Singh, R., & Bansal, A. (2021). AI-based Chatbot for University Admission Enquiries. IJCA, 176(18), 15–19.
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