AI Powered Chatbot for College Information and Student Support
S.Oviyan *
UG, Department of Information Technology, Dhanalakshmi Srinivasan Engineering College (Autonomous), Perambalur, Tamil Nadu, India.
V.Jaya Prakash
UG, Department of Information Technology, Dhanalakshmi Srinivasan Engineering College (Autonomous), Perambalur, Tamil Nadu, India.
S.Praveen Kumar
UG, Department of Information Technology, Dhanalakshmi Srinivasan Engineering College (Autonomous), Perambalur, Tamil Nadu, India.
R.Vishva
UG, Department of Information Technology, Dhanalakshmi Srinivasan Engineering College (Autonomous), Perambalur, Tamil Nadu, India.
V.Thiruppathy Kesavan
Department of Information Technology, Dhanalakshmi Srinivasan Engineering College (Autonomous), Perambalur, Tamil Nadu. India.
*Author to whom correspondence should be addressed.
Abstract
This study presents the development of an AI-powered chatbot tailored to assist college students with academic, campus-related, and personal development queries. Designed as a student-support software prototype, the system integrates natural language processing (NLP), text-to-speech (TTS), speech-to-text (STT), and machine learning models to deliver real-time information and interactive responses. Key features include course recommendations, timetable access, placement updates, NPTEL/hackathon alerts, library book availability, and image-based building identification. The chatbot also supports media uploads and provides mental health resources and career guidance through a conversational interface. Tested with over 50 student queries, it achieved a 92% response accuracy, identified college buildings from images with 85% accuracy, and reduced average information-seeking time by 65% compared to manual methods. Additionally, the inclusion of TTS and STT functionalities enhanced accessibility for differently abled users. This AI-driven solution fosters a smarter and more connected campus environment by streamlining support services and promoting student engagement. Future enhancements will focus on expanding the knowledge base, improving multilingual support, and refining interactive capabilities through broader user testing.
Keywords: AI-powered chatbot, student support system, campus information system, academic assistance, speech recognition, accessibility, personalized recommendations