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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM26421
Volume:
7 |
11 |
Nov 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The project overview discusses the challenges students face in college selection during admissions and introduces an innovative solution through a sophisticated application. By employing machine learning and data analysis, this application generates personalized preference lists based on academic rank, preferred branches, and historical cut-off data. Utilizing modern technologies like React.js and Django, it aims to improve user experience and decision accuracy. Ultimately, it addresses the need for informed college choices, mitigating post-admission disillusionment and frustration for students.
KEYWORDS
Publication Date
4/29/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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