Authors : Karamsetty Sathvika Padmavathi; Marripally Prasanna; Kotha Vijay Jagadeeswar Rana Prathap; T. Madhu

Volume/Issue : Volume 10 - 2025, Issue 5 - May

Google Scholar : https://tinyurl.com/3zx5vu26

DOI : https://doi.org/10.38124/ijisrt/25may2088

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : 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.

Keywords : Chatbot, EAMCET Rank, College Recommendation, Natural Language Processing, Machine Learning, Python, Flask.

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