Implementation paper on “Admission Sarthi” – College Predictor

Implementation paper on “Admission Sarthi” - College Predictor

1Saurav Shrikant Bansode , 2Prathamesh S. Mahindrakar , 3Shreyash Kadam , 4Snehal P. Hon

1,2,3 U.G. Student, Department of Electronics and Computer Engineering , P.E.S Modern College of Engineering,

4Assistant Professor, Department of Electronics and Computer Engineering,

P.E.S Modern College of Engineering,

Pune, Maharashtra, India

saurav_bansode@moderncoe.edu.in, prathamesh_mahindrakar@moderncoe.edu.in, shreyash_kadam@moderncoe.edu.in, snehal.hon@moderncoe.edu.in

Abstract— Selecting the right college is crucial for shaping students' future careers. Unfortunately, many students, especially in rural areas, end up in unsuitable colleges due to limited information. "Admission Sarthi” - College Predictor addresses this issue by focusing on Maharashtra’s Engineering Colleges and MHT-CET scores. It provides a user-friendly platform where students can enter their marks or rank and receive a list of potential colleges along with admission probabilities. Using real and official data, the tool ensures accurate and reliable predictions. Admission Sarthi features an AI bot to help students with questions related to colleges, branches, and cutoffs, enhancing their decision-making process. Additionally, students can export the generated college list to PDF and Excel formats. The platform includes mock tests to aid in exam preparation. The goal is to guide students towards informed decisions, helping them avoid choices that could negatively impact their academic and professional paths.

Keywords—Machine Learning, Cloud Computing, Admission.