Smart Virtual Assistant Academic Model for a University Website

Abstract

This paper presents the query chatbot system implemented by an institution, which is designed to deliver prompt and efficient responses to inquiries from both students and faculty members. Machine learning algorithms and natural language processing techniques were used in the creation of the chatbot. Using a dataset of commonly asked questions by students, we evaluated the system's functionality. The outcomes showed that the chatbot could deliver precise answers on schedule. The system's ability to provide prompt responses to often- asked questions might potentially save time for both teachers and pupils. Our study demonstrates the value of chatbots in educational environments and suggests avenues for further investigation into this area. A conversational buddy is a piece of software that facilitates online text or voice messaging conversations. They can contextualize human participation, making dialogue more interesting. A powerful tool for building chatbots that can serve as a college inquiry system is the Python framework Rasa X The goal of this research project is to establish guidelines for building a dynamic chatbot that can communicate with users via text and speech.