Enhancing Campus Communication: Advanced ML Techniques for College Chatbots

Annapoorna, CM and Ushasree, R (2024) Enhancing Campus Communication: Advanced ML Techniques for College Chatbots. Journal of Innovation and Technology, 2024 (33). pp. 1-8. ISSN 2805-5179

	Text joit2024_33.pdf - Published Version Available under License Creative Commons Attribution. Download (285kB)
	Text 619 - Published Version Available under License Creative Commons Attribution. Download (22kB)

Abstract

This research explores the development and deployment of a college chatbot using advanced machine learning techniques to enhance communication and support within the campus community. The chatbot is designed to efficiently handle a variety of student inquiries by leveraging natural language processing and deep learning models. Through a detailed methodology, evaluation of metrics, and real-world testing, this study demonstrates how the chatbot enhances student engagement and administrative efficiency. Challenges encountered during development included managing ambiguous queries and ensuring data accuracy and relevance. Future work aims to expand the chatbot's capabilities with personalized interactions, voice-based queries, and multilingual support to better serve a diverse student body and further improve functionality. This research paper provides an analysis of designing, applying, and utilizing a college chatbot’s powered by advanced ML techniques. The functions demonstrate its prospective to rationalize campus communication, offering a scalable, efficient, and user-friendly solution to meet the changing needs of modern educational institutions.

Item Type:	Article
Uncontrolled Keywords:	College Chatbot, Artificial Intelligence (AI), Natural Language Processing (NLP), Academic Support Services, Student Engagement, Machine Learning (ML)
Subjects:	L Education > LC Special aspects of education > LC5201 Education extension. Adult education. Continuing education Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General)
Depositing User:	Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited:	04 Dec 2024 07:49
Last Modified:	04 Dec 2024 07:49
URI:	http://eprints.intimal.edu.my/id/eprint/2078

Actions (login required)

View Item