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@article{176345,
        author = {Waghamare Pragati Yashawant and Bhagwat Rushikesh Jalindar and Pawar Sarthak Prasad and Kodag Mansi Maruti},
        title = {The Engineering College Recommendation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {7813-7816},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176345},
        abstract = {The college selection process can be daunting for students, particularly when they have to consider various factors such as academic performance, branch preferences, and category-based reservations. This paper presents a Personalized College Recommendation System for engineering admissions, designed specifically for students applying through the Maharashtra Common Entrance Test (MHT-CET). Leveraging a dataset comprising student performance and demographic details, the system employs a Decision Tree algorithm to recommend engineering colleges under the Savitribai Phule Pune University (SPPU). By integrating user-specific inputs such as branch preference, gender, caste, and academic performance, the system offers personalized and data-driven recommendations. The proposed solution aims to simplify the decision-making process for students by providing them with college suggestions that align with their preferences, ultimately improving the efficiency and accuracy of college selection.},
        keywords = {academic performance, branch preference, caste, college recommendation, data-driven, Decision Tree, demographic details, engineering admissions, gender, MHT-CET, personalized, Savitribai Phule Pune University, SPPU, student performance, user-specific inputs},
        month = {May},
        }