SriBOT: ML-Enhanced Virtual Assistant for College Information

The proposed hybrid campus inquiry chat-bot creates a user-friendly interaction by navigating into information related to the institute and is also designed primarily for naive users. The chat-bot integrates a range of advanced features including voice input via microphone, text-to-speech responses with pause and resume controls, button-based quick replies, keyword-driven intent matching, and dynamic content generation embedded with redirection links. Built on a custom dataset derived from the official college website, the system employs NLP techniques such as tokenization, stemming, and lemmatization to enhance query understanding. Through these features, the chat-bot significantly simplifies user interaction, improves accessibility, and offers real-time, accurate assistance, demonstrating its potential as an effective digital support tool for educational environments.

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Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-08-27
DOI
https://doi.org/10.48175/ijarsct-28717
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

SriBOT: ML-Enhanced Virtual Assistant for College Information

G. Sravya, N. Vasanthi, P. Chandana, N. Lohitha et al.
International Journal of Advanced Research in Science Communication and Technology
AI in Service Interactions
article

SriBOT: ML-Enhanced Virtual Assistant for College Information

G. Sravya, N. Vasanthi, P. Chandana, N. Lohitha, M. Sailaja
article en

Abstract

The proposed hybrid campus inquiry chat-bot creates a user-friendly interaction by navigating into information related to the institute and is also designed primarily for naive users. The chat-bot integrates a range of advanced features including voice input via microphone, text-to-speech responses with pause and resume controls, button-based quick replies, keyword-driven intent matching, and dynamic content generation embedded with redirection links. Built on a custom dataset derived from the official college website, the system employs NLP techniques such as tokenization, stemming, and lemmatization to enhance query understanding. Through these features, the chat-bot significantly simplifies user interaction, improves accessibility, and offers real-time, accurate assistance, demonstrating its potential as an effective digital support tool for educational environments.

International Journal of Advanced Research in Science Communication and Technology
Sri Sri University (IN)
Quality Education
Openalex Percentile: Top 88%
AI in Service Interactions
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SriBOT: ML-Enhanced Virtual Assistant for College Information — G. Sravya, N. Vasanthi, et al. · International Journal of Advanced Research in Science Communication and Technology (2025) | TGRS Research Map | TGRS