Enhancing Campus Communication: Advanced ML Techniques for College Chatbots
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 proce...
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| Format: | Article |
| Language: | English English |
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INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2078/ http://eprints.intimal.edu.my/2078/2/619 http://eprints.intimal.edu.my/2078/3/joit2024_33b.pdf |
| _version_ | 1848766914101248000 |
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| author | Annapoorna, CM Ushasree, R |
| author_facet | Annapoorna, CM Ushasree, R |
| author_sort | Annapoorna, CM |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:58:42Z |
| format | Article |
| id | intimal-2078 |
| institution | INTI International University |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T11:58:42Z |
| publishDate | 2024 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-20782025-07-11T03:18:07Z http://eprints.intimal.edu.my/2078/ Enhancing Campus Communication: Advanced ML Techniques for College Chatbots Annapoorna, CM Ushasree, R LC5201 Education extension. Adult education. Continuing education QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) 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. INTI International University 2024-12 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2078/2/619 text en cc_by_4 http://eprints.intimal.edu.my/2078/3/joit2024_33b.pdf 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 http://ipublishing.intimal.edu.my/joint.html |
| spellingShingle | LC5201 Education extension. Adult education. Continuing education QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) Annapoorna, CM Ushasree, R Enhancing Campus Communication: Advanced ML Techniques for College Chatbots |
| title | Enhancing Campus Communication: Advanced ML Techniques for College
Chatbots |
| title_full | Enhancing Campus Communication: Advanced ML Techniques for College
Chatbots |
| title_fullStr | Enhancing Campus Communication: Advanced ML Techniques for College
Chatbots |
| title_full_unstemmed | Enhancing Campus Communication: Advanced ML Techniques for College
Chatbots |
| title_short | Enhancing Campus Communication: Advanced ML Techniques for College
Chatbots |
| title_sort | enhancing campus communication: advanced ml techniques for college
chatbots |
| topic | LC5201 Education extension. Adult education. Continuing education QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) |
| url | http://eprints.intimal.edu.my/2078/ http://eprints.intimal.edu.my/2078/ http://eprints.intimal.edu.my/2078/2/619 http://eprints.intimal.edu.my/2078/3/joit2024_33b.pdf |