• Gokul R
• Kalaivani S

In this paper, we present a college enquiry chatbot system designed to provide quick and efficient responses to student queries. The chatbot was built using natural language processing techniques and machine learning algorithms. We evaluated the performance of the system by testing it with a dataset of commonly asked student queries. The results showed that the chatbot was able to provide accurate responses in a timely manner. The system has the potential to save time for both students and staff by providing instant answers to commonly asked questions. Our study highlights the effectiveness of chatbot systems in educational environments and suggests the potential for future research in this area. I conversational assistant is a computer program that can be used for online interaction through text or voice messages. They can make human interaction contextual which leads to actual engaging interaction. Python’s Rasa X is a framework that is a powerful tool in the creation of chatbots that can serve as a college enquiry system. This research study is focused on identifying the requirements for the development of a dynamic chatbot that supports text as well as voice-based interaction with the users.

Artificial Intelligence, Rasa X, Machine learning, College enquiry chatbot, Human-computer interaction, Natural language processing, Speech-to-text.

"AI College Enquiry Chatbot System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.d446-d449, February-2023, Available :http://www.jetir.org/papers/JETIR2302353.pdf

"AI College Enquiry Chatbot System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppd446-d449, February-2023, Available at : http://www.jetir.org/papers/JETIR2302353.pdf