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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| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2078/1/joit2024_33.pdf http://eprints.intimal.edu.my/2078/2/619 http://eprints.intimal.edu.my/2078/ http://ipublishing.intimal.edu.my/joint.html |
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| Summary: | 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. |
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