College Enquiry Chatbot UsingMachine Learning:An Intelligent Conversational System for Academic Information Retrieval

Abstract: TheCollege Enquiry Chatbotis an intelligent conversational system designed to automate the handling of student and visitor enquiries related to college admissions, courses, fees, faculty, facilities, and academic schedules. The system leveragesMachine Learning (ML), Natural Language Processing (NLP), and deep learning-based intent classificationto understand and respond to user queries in real time. Built using Python, NLTK, TensorFlow/Keras, and a Flask-based web interface, the chatbot delivers accurate, context-aware responses without human intervention. Unlike traditional FAQ pages or static information portals, this system understands the intent behind user queries, handles variations in phrasing, and provides personalized responses. The system is evaluated against benchmark metrics including accuracy, F1 score, and response latency. Experimental results demonstrate a classification accuracy of over 92% on a domain-specific college enquiry dataset. Future work includes multilingual support, voice integration, and CRM system connectivity.

Keywords: Artificial Intelligence, Chatbot, Deep Learning, Intent Classification, Machine Learning, Natural Language Processing, Neural Network.