AI Chatbot for College Helpdesk

ABSTRACT: Access to accurate and up-to-date information about higher education institutions remains a major concern for prospective students. Many students face difficulties in obtaining reliable details regarding admissions, eligibility criteria, cutoff marks, seat availability, campus facilities, and other academic services. Traditional information channels such as websites and manual inquiry systems often fail to provide immediate and personalized responses. To overcome these limitations, this study proposes an intelligent chatbot system powered by Artificial Intelligence (AI) to enhance communication between students and educational institutions. The proposed framework utilizes advanced technologies including Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning (ML) to understand user queries and deliver precise, context-aware responses in real time. The system architecture incorporates automated data extraction modules, cloud-based data storage, AI-driven processing mechanisms, and an interactive conversational interface. By integrating these components, the chatbot is capable of retrieving and presenting institutional information efficiently and accurately. A prototype implementation demonstrates the practicality of the system in reducing information gaps and improving user engagement. The results indicate that the AI-based conversational model enhances accessibility, minimizes response delays, and provides a seamless experience for users seeking college-related information. The proposed approach contributes to digital transformation in the education sector by offering a scalable and intelligent solution for automated academic information delivery. Keywords: Artificial Intelligence, Chatbot Systems, Large Language Models, Natural Language Processing, Machine Learning, Higher Education Information Access