Student Segmentation System

Developed an AI-powered student segmentation system using Machine Learning and K-Means clustering toanalyze student learning behavior and performance patterns. Performed data preprocessing, feature scaling,clustering, and PCA visualization using Python, Pandas, NumPy, and Scikit-learn. Built an interactive Streamlitdashboard for dataset upload, cluster analysis, visual insights, and downloadable analytics reports.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-21
DOI
https://doi.org/10.5281/zenodo.20324328
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

Student Segmentation System

Dev Modi
Zenodo (CERN European Organization for Nuclear Research)
Online Learning and Analytics
article

Student Segmentation System

Dev Modi
article en

Abstract

Developed an AI-powered student segmentation system using Machine Learning and K-Means clustering toanalyze student learning behavior and performance patterns. Performed data preprocessing, feature scaling,clustering, and PCA visualization using Python, Pandas, NumPy, and Scikit-learn. Built an interactive Streamlitdashboard for dataset upload, cluster analysis, visual insights, and downloadable analytics reports.

Zenodo (CERN European Organization for Nuclear Research)
Mentor (GB)
Quality Education
Openalex Percentile: Top 3%
Online Learning and Analytics
DOIOpen Access PDFOpenAlex
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Student Segmentation System — Dev Modi · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS