This research details the development of a college inquiry chatbot driven by AI that can effectively respond to commonly requested queries about admissions, courses, and campus facilities. The chatbot is a web-based application that allows users to enter text and speech, making it more accessible. The chatbot provides accurate, context-aware responses by using Natural Language Processing (NLP) for text comprehension and speech recognition for voice requests. It makes use of Gradio for user interaction, Rasa's Dual Intent and Entity Transformer (DIET) architecture, and the Flask framework. Retrieval-Augmented Generation (RAG), which uses a knowledge base to offer current and correct information, further improves the system. Initial testing demonstrates how well the chatbot handles a variety of questions and provides pertinent answers, which simplifies college inquiries and raises student involvement.