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A Novel Machine Learning Recommender System for Generating College Recommendations

College/University Admission Assistant

##article.authors##

  • Disha Raghuvanshi Moreau Catholic High School

DOI:

https://doi.org/10.58445/rars.1334

Keywords:

college applications, college recommendations, college admissions, college guidance, usherai, knn machine learning model, admission likelihood, high school student, democratize college admissions guidance

Abstract

This paper introduces Usher-AI, a Machine Learning recommender system utilizing the K-Nearest Neighbors (KNN) algorithm, designed to forecast university acceptance for prospective students and generate college recommendations. By analyzing historical student and university data of accepted and denied applicants, this method aims to assist individuals in estimating their chances of college acceptance, thereby enhancing their decision-making process. This paper details the steps in the method’s development and implementation, including the data preprocessing, model training, and evaluation. The predictions generated by Usher-AI including, chances of acceptance using student fit and profile, demonstrate promising accuracy in predicting college acceptance, providing valuable insights for both applicants and university admissions. In addition, the Usher-AI-generated college recommendations inform student decisions in selecting colleges during the application cycle.

References

Roberts, K. (2024, March 22). Tips for Building a Balanced College List. Retrieved from https://www.linkedin.com/pulse/tips-building-balanced-college-list-kerry-roberts-qrkhe/.

Sabky, B. M. (2021). Valedictorians at the Gate: Standing Out, Getting In, and Staying Sane While Applying to College (First). Henry Holt and Company.

Weinstein, B., & Tedards, S. (n.d.). The College List – College Finder Series: Part II. Retrieved from https://www.collegeadvisor.com/resources/college-list/.

Weintraub, L. (2023, July 12). The Ultimate Guide to Making a Balanced College List. Retrieved from https://blog.collegevine.com/how-to-make-a-college-list.

GeeksForGeeks. (2024, January 25). K-Nearest Neighbor (KNN) Algorithm. Retrieved from https://www.geeksforgeeks.org/k-nearest-neighbours/.

Harrison, O. (2018, September 10). Machine Learning Basics with the K-Nearest Neighbors Algorithm. Retrieved from https://towardsdatascience.com/machine-learning-basics-with-the-k-nearest-neighbors-algorithm-6a6e71d01761.

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Posted

2024-07-21

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Copyright (c) 2024 Disha Raghuvanshi

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