It is getting harder for colleges to handle a lot of questions from students, fac- ulty, and potential applicants in a timely manner. When people have to rely on manual information sharing, it can cause delays, inconsistent answers, and a lot of extra work for administrators. To address these concerns, this paper offers a thorough analysis of the design and development of an AI-powered chatbot. The chatbot works like a virtual assistant, giving you quick and correct answers to a lot of institutional questions like the admission fees and procedure, college hours and library rules, department information, academic calendar and events. Our approach combines a Natural Language Processing (NLP) engine with the creation of an extensive knowledge base from official documents and publicly accessible institutional data. In order to provide pertinent and contextually appropriate responses, this system is made to comprehend and interpret user intent from conversational input. The main goals of the project are to increase the accessibility of information, enhance the user experience generally, and lessen the administrative staff’s workload by automating answers to frequently asked questions. The created system offers a scalable and practical way to update support and communication in an academic setting.
Hegde et al. (2025) studied this question.