College Enquiry Chatbot Using Natural Language Processing

Abstract

When it comes to finding information about colleges, students often face a frustrating reality — slow and outdated manual processes that cannot keep up with their needs. To tackle this problem, we created an innovative College Enquiry Chatbot that combines the power of Natural Language Processing, Retrieval Augmented Generation (RAG), FastAPI, and MongoDB [1] [3]. What sets our chatbot apart is its ability to think on its feet, rather than relying on pre-programmed responses. It digs deep into institutional PDF documents and a MongoDB knowledge base to fetch relevant information, converts it into vector embeddings stored in ChromaDB, and then uses a Large Language Model to craft accurate and meaningful replies [2]. Students can ask questions about anything from admissions and fees to placements and hostel facilities, and get instant answers 24/7. By anchoring every response in factual data, our system avoids the common pitfall of AI-generated misinformation [4]. The result is a practical and scalable solution that brings college communication into the modern era through conversational AI [6].