gsmanisha/student-risk-prediction

AI-Based Student Performance Risk Prediction System

This project predicts whether a student is at Low Risk, Medium Risk, or High Risk using Machine Learning.

Model

Random Forest Classifier

Inputs

• —Attendance (%)
• —Internal Test 1
• —Internal Test 2
• —Assignment Score
• —Daily Study Hours

Output

• —Risk Level
• —Prediction Confidence
• —Recommendation