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KU BOT: An NLP-Powered Chatbot for University of Kerala Admission


Affiliations
1 Department of Futures Studies, University of Kerala, Trivandrum, Kerala, India - 680567., India
2 Professor & HOD, Dept of CSE, ICCS College of Engineering and Management, Kerala., India
 

This research focuses on the use of AI-powered chatbots in customer interactions for business growth and task automation. The study uses the KU-BOT, a chatbot developed for automating the admission process at the University of Kerala, as a case study. The KU-BOT addresses student queries, provide quick responses and passes more complicated ones to human representatives. The study uses the RASA open-source framework with an accuracy rate of 98.25%. The research highlights the benefits of implementing chatbots in academic institutions, including increased productivity, improved customer satisfaction, and reduced operational costs. Chatbots can also serve as a valuable resource for students, providing access to information and resources around the clock. The study provides guidelines for building AI-driven chatbots in academic institutions, including the use of NLP and ML techniques. In conclusion, chatbots can be a valuable asset in improving communication and providing information when used as a complementary tool to human interaction.

Keywords

Rasa, NLP, ML, Chatbot.
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  • KU BOT: An NLP-Powered Chatbot for University of Kerala Admission

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Authors

Midhun Das L
Department of Futures Studies, University of Kerala, Trivandrum, Kerala, India - 680567., India
Prem Sankar C
Professor & HOD, Dept of CSE, ICCS College of Engineering and Management, Kerala., India

Abstract


This research focuses on the use of AI-powered chatbots in customer interactions for business growth and task automation. The study uses the KU-BOT, a chatbot developed for automating the admission process at the University of Kerala, as a case study. The KU-BOT addresses student queries, provide quick responses and passes more complicated ones to human representatives. The study uses the RASA open-source framework with an accuracy rate of 98.25%. The research highlights the benefits of implementing chatbots in academic institutions, including increased productivity, improved customer satisfaction, and reduced operational costs. Chatbots can also serve as a valuable resource for students, providing access to information and resources around the clock. The study provides guidelines for building AI-driven chatbots in academic institutions, including the use of NLP and ML techniques. In conclusion, chatbots can be a valuable asset in improving communication and providing information when used as a complementary tool to human interaction.

Keywords


Rasa, NLP, ML, Chatbot.

References