Anticipating College Admissions: An Algorithmic Approach


Authors : Eturu Harshith; Jemunigani Jishnu

Volume/Issue : Volume 8 - 2023, Issue 8 - August

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/4ak4bj77

DOI : https://doi.org/10.5281/zenodo.8252386

Abstract : "In the pursuit of one's desires, Abraham Lincoln depicts the essence of discipline as the capacity to prioritize what is genuinely desired over immediate gratification. Numerous students face obstacles when tasked with choosing the college that best meets their individual needs. This is commonly attributed to a number of factors, such as defective college assessments, a lack of awareness, and dubious predictions, resulting in misgivings after the admissions process has been completed. In order to resolve this issue within the student population, our paper presents a solution in the form of an innovative web application. The primary objective of this application is to aid students in making well-informed decisions before being assigned to an institution, which is accomplished through the development of an automated prediction model customized for a particular college admissions system.

Keywords : Analysis, Prediction, College, Allotment, Accuracy.

"In the pursuit of one's desires, Abraham Lincoln depicts the essence of discipline as the capacity to prioritize what is genuinely desired over immediate gratification. Numerous students face obstacles when tasked with choosing the college that best meets their individual needs. This is commonly attributed to a number of factors, such as defective college assessments, a lack of awareness, and dubious predictions, resulting in misgivings after the admissions process has been completed. In order to resolve this issue within the student population, our paper presents a solution in the form of an innovative web application. The primary objective of this application is to aid students in making well-informed decisions before being assigned to an institution, which is accomplished through the development of an automated prediction model customized for a particular college admissions system.

Keywords : Analysis, Prediction, College, Allotment, Accuracy.

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