University Recommendation System for Abroad Studies using Machine Learning

Autor: Yash Kadam, Yash Kadulkar, Vishwas Moolya, Shruti Agrawal
Rok vydání: 2023
Předmět:
Zdroj: International Journal for Research in Applied Science and Engineering Technology. 11:2954-2962
ISSN: 2321-9653
Popis: Finding the right college or university to pursue postgraduate studies can be a daunting task, particularly when considering admission requirements and available academic re- sources. This can lead to students applying to institutions that are beyond their reach, wasting time and money on applications they are unlikely to be accepted to. This research study suggests creating a recommendation system to help graduate admission applicants choose the best university for them as a solution to this problem. The system leverages historical data of previously enrolled graduate students and considers several factors, including academic records, standardized test scores, academic standing, and university characteristics, to provide personalized recommendations to admission seekers
Databáze: OpenAIRE