Authors: Professor Swati Bagade, Aarohi Wagh, Veerashwar Kshirsagar, Shivam Ubarhande
Abstract: In today's digital era, students face significant challenges in finding authentic and structured reviews about colleges. The existing online platforms often provide scattered, biased, or unverified information, making it difficult for prospective students to make informed decisions. This paper presents an AI-powered College Review Chatbot designed to provide instant, structured, and reliable information about various colleges based on student feedback and key institutional parameters. The chatbot leverages Natural Language Processing (NLP) to interpret user queries and retrieve relevant insights from a curated database. Additionally, sentiment analysis is employed to filter biased or misleading reviews, ensuring a balanced perspective. The chatbot serves as an interactive guide, simplifying the decision-making process for students and enhancing user engagement. Experimental results demonstrate the chatbot's effectiveness in improving accessibility and reducing the time required to gather accurate college-related information.
