This project predicts scholarship eligibility using machine learning. It analyzes student academic performance, family income, and attendance to classify whether a student is eligible or not. A classification model is trained to estimate eligibility probability and support fair, data-driven scholarship decisions.
☆26Jan 4, 2026Updated 6 months ago
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