• Rithika Sharma
• Threesha
• Yashaswi C Shetty
• Yashaswi K B
• Prof. Shruthi V S

In the digital age, educational institutions are increasingly adopting intelligent systems to streamline communication and improve user experience. This paper presents the design and implementation of an AI-driven chatbot tailored for handling admission enquiries in academic institutions. The chatbot leverages natural language processing (NLP) techniques to understand and respond to prospective students' questions related to courses, eligibility criteria, fee structure, important dates, and application procedures. By integrating the chatbot with existing institutional websites or messaging platforms, it ensures 24/7 availability and reduces the workload on administrative staff. The system was developed using a combination of rule-based logic and machine learning models to provide both accurate and contextually relevant responses. Initial testing with real user queries demonstrated a significant improvement in response time and user satisfaction. This project underscores the potential of conversational AI in transforming student engagement and enhancing institutional efficiency during admission seasons.

Admission Chatbot ,Natural Language Processing (NLP), Conversational AI ,Educational Technology, Student Enquiry System, Machine Learning ,AI in Education Chatbot Integration

"Admission Enquiry Chatbot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.614-618, July-2025, Available :http://www.jetir.org/papers/JETIRGX06118.pdf

"Admission Enquiry Chatbot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp614-618, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06118.pdf