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ABSTRACT
Traditional methods of addressing student inquiries, such as phone calls, emails, and inperson visits, often suffer from delays, inefficiencies, and limited availability, hindering students' access to timely and accurate information. The growing student population and diverse range of inquiries further compound these issues. The objectives of this research project are to design a user-friendly chatbot interface, train the chatbot using natural language processing (NLP) techniques, implement an escalation mechanism for complex queries, monitor and evaluate the chatbot's performance, and assess its impact on student satisfaction and support services. The research aligns with the trend of leveraging technology to enhance educational experiences, improve operational efficiency, and provide personalized guidance to students. By exploring the development and impact of an intelligent student enquiry chatbot, this study contributes to the ongoing efforts to meet the evolving needs of students in a digital age. In training a machine learning model to respond to user queries this research aims to provide insights into the potential benefits of AI-driven solutions in educational institutions, ultimately enhancing the support services available to students and improving their overall learning experience. This thesis delves into the development and implementation of an intelligent student enquiry chatbot, aimed at enhancing the learning experience and administrative efficiency within educational institutions.
