Gen AI Based Chatbot for College Enquiries

Gen AI Based Chatbot for College Enquiries

Kalaivani K 1, Livingston V 2, Mohan Raj P 3, Aravind Kumar G 4 , Manoj R 5

Assistant Professor, CST, SNS College of, Coimbatore – 641107. Email: kalaivani.k.csd@snsce.ac.in

Final Year, CST, SNS College of Engineering, Coimbatore – 641107. Email: livingston.v.personal@gmail.com

Final Year, CST, SNS College of Engineering, Coimbatore – 641107. Email: themohanoffl@gmail.com

Final Year, CST, SNS College of Engineering, Coimbatore – 641107. Email: aravindkumarcs216@gmail.com

Final Year, CST, SNS College of Engineering, Coimbatore – 641107. Email: rmanoj0126@gmail.com

Abstract – In the modern educational ecosystem, colleges and universities face a growing challenge in managing high volumes of student and visitor inquiries efficiently. Prospective students, current students, parents, and staff often seek information about admissions, courses, campus facilities, events, and administrative procedures. Traditional communication channels such as email, phone, or in-person support are often slow, inconsistent, and limited to office hours, leading to delays, reduced satisfaction, and increased workload for administrative staff.

This project presents a Gen AI-Based Chatbot for College Enquiries, leveraging Generative AI and Natural Language Processing (NLP) to deliver intelligent, real-time, and context-aware responses. The platform is designed to automate routine queries, enhance student engagement, and provide continuous support while maintaining a personalized conversational experience. Key modules include:

·        Admissions Assistant – Provides detailed guidance on eligibility, application procedures, deadlines, fees, and document requirements.

·        Course Advisor – Offers personalized recommendations on courses, programs, specializations, and electives based on user interests.

·        Campus Navigator – Supplies information about facilities, campus events, faculty contacts, schedules, and extracurricular activities.

·        Digital Knowledge Repository – Maintains a continuously updated database of FAQs, policies, notifications, and historical responses to improve accuracy over time.

The system is built using Flask for backend operations, React for a responsive frontend, MySQL for structured data storage, and OpenAI GPT models for conversational AI. The platform supports multi-language interactions, secure data management, and is optimized for scalability to handle large volumes of simultaneous queries. By offering instant, precise, and interactive assistance, this project demonstrates how AI can significantly improve operational efficiency, student satisfaction, and institutional productivity. The system reduces administrative burden, accelerates information dissemination, and provides a modern, user-friendly digital interface that bridges

communication gaps between students and college administration.

Keywords: College Chatbot, AI-Powered Enquiries, Generative AI, Natural Language Processing, Student Support System, Admission Guidance, Course Recommendation, Campus Information, Digital Knowledge Base, Multi-Language Support, Educational Technology.