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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM44892
Volume:
9 |
4 |
Apr 2025
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.
This project aims to create an interactive platform for visualizing and analyzing academic performance data. The tool processes student grades results, presenting them in visual formats like bar charts, line graphs, and pie charts. It integrates machine learning algorithms to categorize students as top or low performers and predicts strengths and weaknesses in various subjects. The system offers personalized improvement recommendations. This platform enhances academic analytics by transforming data into actionable insights for better educational outcomes.
KEYWORDS
Publication Date
4/17/2025
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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