

KU BOT: An NLP-Powered Chatbot for University of Kerala Admission
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.
User
Font Size
Information