AI- Powered Student Assistance ChatBot

In the rapidly evolving digital education landscape, students require instant, accurate, and accessible academic and administrative support. This paper presents the design and implementation of an AI-powered Student Assistance Chatbot, tailored to serve institutions like REVA University and the Department of Technical Education, Government of Rajasthan. The chatbot leverages Natural Language Processing (NLP), a custom-trained dataset, and live data scraping to address queries related to admissions, fees, scholarships, placements, and more, across English and regional languages. The system aims to reduce dependency on human staff, ensure 24/7 support, and provide scalable automation. The implementation results indicate a high accuracy in intent recognition, quick response generation, and improved student satisfaction.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-21
DOI
https://doi.org/10.5281/zenodo.15483879
Primary Topic
Bone Metabolism and Diseases
Type
article
Field-Weighted Citation Impact
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article

AI- Powered Student Assistance ChatBot

Zenodo (CERN European Organization for Nuclear Research)
Bone Metabolism and Diseases
article

AI- Powered Student Assistance ChatBot

article en

Abstract

In the rapidly evolving digital education landscape, students require instant, accurate, and accessible academic and administrative support. This paper presents the design and implementation of an AI-powered Student Assistance Chatbot, tailored to serve institutions like REVA University and the Department of Technical Education, Government of Rajasthan. The chatbot leverages Natural Language Processing (NLP), a custom-trained dataset, and live data scraping to address queries related to admissions, fees, scholarships, placements, and more, across English and regional languages. The system aims to reduce dependency on human staff, ensure 24/7 support, and provide scalable automation. The implementation results indicate a high accuracy in intent recognition, quick response generation, and improved student satisfaction.

Zenodo (CERN European Organization for Nuclear Research)
REVA University (IN)
Quality Education
Openalex Percentile: Top 55%
Bone Metabolism and Diseases
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