• Nida Shakil Latif
• Aliya Niyaj Mujawar
• Rupali Sandip Borge
• Pranali Sarjerao Patil

In the present conditions, students regularly have difficulty finding a fitting institution to pursue higher studies based on their profile. There are some advisory administrations and online apps that recommend universities but they ask huge consultancy fees and online apps are not accurate. So, the aim of this research is to develop a model that predict the percentage of chances into the university accurately. This model provides also the analysis of scores versus chance of prediction based on historical data so that students can understand whether their profile is suitable or not. The proposed model uses linear regression and random forest algorithms but cat boost algorithm is giving highest accuracy. The college admissions process can be daunting for many students, and even though some organisations offer admission assistance, the advice they provide is not always accurate and often expensive. This study aims to develop a model that can more accurately predict a student’s chances of college admission.

IIT & NIT

"IIT and NIT College Prediction System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.c671-c674, April-2024, Available :http://www.jetir.org/papers/JETIR2404274.pdf

"IIT and NIT College Prediction System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppc671-c674, April-2024, Available at : http://www.jetir.org/papers/JETIR2404274.pdf