COLLEGE PREDICTION SYSTEM

COLLEGE PREDICTION SYSTEM

Mr. Nishant Raut 1, Mr. Shivam Raina 2, Ms. Bhakti Patare 3, Ms. Shital Shirole4, Prof. P.S Raikar5

*1.2.3.4.Last Year Student, Department of Computer Engineering, Smt. Kashibai Navale College of Engineering, Pune, Maharashtra, India

*5Profecessor, Department of Computer Engineering, Smt. Kashibai Navale College of Engineering, Pune, Maharashtra, India

---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract –

The project overview discusses the challenges students face in college selection during admissions and introduces an innovative solution through a sophisticated application. By employing machine learning and data analysis, this application generates personalized preference lists based on academic rank, preferred branches, and historical cut-off data. Utilizing modern technologies like React.js and Django, it aims to improve user experience and decision accuracy. Ultimately, it addresses the need for informed college choices, mitigating post-admission disillusionment and frustration for students.

Keywords: Admission, prediction model, adaboost algorithm, data analysis.