student dropout prediction
š Login Page Include: Email / Roll number Password Login button Error handling (invalid credentials) Why? Shows real-world application & security awareness. š Sign-Up / Register Page Include: Name Email / Student ID Password (hashed) Role selection: Student Admin / Faculty 2ļøā£ Role-Based Access Control šØāš Student Dashboard View personal risk status: Low Risk Medium Risk High Risk Academic summary Recommendation messages (support, counseling, extra classes) š©āš« Admin / Faculty Dashboard (MOST IMPRESSIVE) Include: Total students Number of: At-risk students Dropouts Graduates Filters: Department Semester Risk level š Visualizations Pie chart: Graduate vs Dropout vs Enrolled Bar chart: Risk per department Trend graph: Dropout over semesters 3ļøā£ Student Data Input Module š Data Entry Form (Admin only) Fields: Attendance GPA Backlogs Family income Scholarship status Previous semester performance Action: ā”ļø Submit ā ML model predicts outcome 4ļøā£ ML Prediction Module (Core ā¤ļø) š§ Prediction Output Predicted Class: Graduate Dropout Enrolled Confidence score Risk level badge (color coded) Example: Prediction: Dropout Risk Level: High Confidence: 78% 5ļøā£ Explainability Module (Advanced āā) š Model Explanation Feature importance (XGBoost) SHAP plots (optional but š„) Why student is at risk (top 3 reasons) Example: Low attendance Low GPA High number of backlogs 6ļøā£ Early Warning & Recommendation System šØ Alerts Highlight high-risk students Auto-flag for counseling š” Recommendations Academic mentoring Financial aid suggestion Attendance improvement 7ļøā£ Database Layer šļø Store: User credentials Student records Prediction history Model outputs Tech: MySQL / PostgreSQL / MongoDB 8ļøā£ Model Management š¦ Saved Model Load best_model.joblib Version control for models Re-train option (admin) 9ļøā£ Deployment Features (Bonus āāā) REST API (/predict) Flask / FastAPI backend Responsive UI Error handling & logs š Optional (Very High Impact) CSV Upload (bulk student prediction) Download prediction report (PDF) Dark mode Audit logs Email alerts for high-risk students