International Journal of Computer Techniques Volume 12 Issue 4 | A ChatBot for College Enquiry Using NLP
College Enquiry Chatbot Using NLP
Authors: Patakamsetti Jabitha, Dr. K. Swapna
Affiliation: Department of IT&CA, College of Engineering, Andhra University, Visakhapatnam, India
Emails: pjabitha3@gmail.com, swapnakethireddy24@gmail.com
Journal: International Journal of Computer Techniques (IJCT)
Volume: 12 | Issue: 4 | Publication Date: July – August 2025
ISSN: 2394-2231 | Journal URL: https://ijctjournal.org/
Abstract
This paper presents a web-based College Enquiry Chatbot designed to provide 24/7 automated assistance related to academic departments, courses, faculty, placements, and facilities. It uses NLP techniques such as tokenization, lemmatization, and fuzzy string matching to interpret user queries. A JSON-based knowledge base ensures flexibility, and TTS functionality enhances accessibility. The chatbot delivers real-time, context-aware responses and reduces reliance on human enquiry desks.
Keywords
NLP, Tokenization, Lemmatization, Chatbot, College Enquiry, Fuzzy Matching, Text-to-Speech, JSON Knowledge Base
Conclusion
The chatbot offers a scalable solution for automating college enquiries. It improves user experience, reduces staff workload, and supports multi-user interaction. Features like TTS, STT, and responsive web integration demonstrate its potential for digital transformation in academic support systems.
References
Includes 15 references from IEEE, IJERT, IRJET, iJET, and other peer-reviewed sources on chatbot development, NLP, and educational automation.
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