Chatbot Deployment for College Recommendation

Choosing the right engineering college after EAMCET counselling is a challenging task for thousands of students in Telangana. To address this, we propose a chatbot system that provides personalized college recommendations based on the student’s EAMCET rank, preferred course, location, and reservation category. This project employs Natural Language Processing to understand user queries in everyday language, extracting key parameters such as rank, course, location and category. A Machine Learning processes this information against a dataset of college wise closing ranks to suggest suitable colleges. The dataset, sourced from official EAMCET counselling records and education portals, is cleaned and structured to include college names, branches, locations, category-specific closing ranks, and admission year. The chatbot interface is developed using Python. The application is deployed using Flask. This project aims to simplify the college selection process, reduce manual effort, and assist students in making informed decisions through an intelligent chatbot solution that reflects their academic and personal preferences.