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Built a pipeline using stats + SHAP to detect grading bias and evaluate teacher impact via attendance and marks data. Identified sensitive attribute influence (e.g., gender/religion) on student performance using explainable AI.

Python20Updated 5 months ago

academic-analysisanovabias-detectioncsv-validatordata-analysisdata-visualizationeducation-analyticsexplainable-aifairness-in-educationinteractive-visualizationmulti-page-appnumpypandasplotlypythonregression-analysisshapstreamlitstudent-performanceteacher-evaluation