State-of-the-Art Review on Chatbot for College Enquiry

This paper presents the development of an AI-powered chatbot for college inquiries, focusing on enhancing response accuracy, user engagement, and system scalability. Key contributions include integrating a tailored natural language processing model and optimizing conversational flow for improved user experience. Experimental results show that our approach outperforms traditional methods in providing quick, personalized responses, reducing administrative workload, and improving student satisfaction. This solution offers a scalable, efficient way to manage student inquiries. Keywords: AI-powered chatbot, Natural Language Processing (NLP), Student inquiries, College admission automation, User engagement, System scalability, Educational technology, Chatbot optimization, Administrative workload reduction.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-03
DOI
https://doi.org/10.55041/ijsrem43649
Primary Topic
Education and Learning Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

State-of-the-Art Review on Chatbot for College Enquiry

Swathi Srikanth Achanur, Bhavya Balakrishnan
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Education and Learning Interventions
article

State-of-the-Art Review on Chatbot for College Enquiry

Swathi Srikanth Achanur, Bhavya Balakrishnan
article en

Abstract

This paper presents the development of an AI-powered chatbot for college inquiries, focusing on enhancing response accuracy, user engagement, and system scalability. Key contributions include integrating a tailored natural language processing model and optimizing conversational flow for improved user experience. Experimental results show that our approach outperforms traditional methods in providing quick, personalized responses, reducing administrative workload, and improving student satisfaction. This solution offers a scalable, efficient way to manage student inquiries. Keywords: AI-powered chatbot, Natural Language Processing (NLP), Student inquiries, College admission automation, User engagement, System scalability, Educational technology, Chatbot optimization, Administrative workload reduction.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Openalex Percentile: Top 92%
Education and Learning Interventions
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