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@article{167669,
        author = {K KARTHIK and B MURALI},
        title = {DETECTION ANDIDENTIFICATION OFPILLS USING MACHINE LEARNING MODELS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {4},
        pages = {49-53},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=167669},
        abstract = {Life is a matter of choices and every choice you make makes you”- John C Maxwell. At present, many students make mistakes in their preference college list. Later, they end up regretting after allotment. Our College Admission Predictor System is a web-based application that allows students to register theirRank, Category, Preferred region, Preferred branch to predict their college admissions. The administrator can add college and batch details and allot seats tostudents. An attempt has made to develop an automated web application prediction model for a college admission system which can be used to make a wise choice of college before allotment. The computerization of the entrance seatallotment process is the main advantage of this project, making the process faster and more efficient. The system helps students make informed decisions about choosing the right college},
        keywords = {Web-based Application, Student Registration, Rank Prediction, Category-based Admission, Region-based Admission, Branch-based Admission},
        month = {September},
        }