Student Dropout Prediction & Early Warning System
Purpose Secure access to the prediction system. Features Admin Email / Username Password (hashed) Login validation Logout option 💡 UI/UX designed using AI tools (Figma AI, Uizard, Galileo AI, etc.) 2️⃣ Admin Dashboard (Main Control Panel) Shows at a glance: Total number of students Number of: Predicted Dropouts Graduates Enrolled students High-risk student count Visuals Pie chart: Outcome distribution Bar chart: Risk levels Trend chart: Dropout patterns 3️⃣ Student Information Management Admin can: View all student details Search student by: ID Name Department Filter by: Semester Risk level Prediction outcome Student Profile Page Displays: Academic performance Attendance Socio-economic data Previous semester history 4️⃣ Prediction Input & Output Module (Core) Input Admin enters or uploads: Attendance GPA Backlogs Family income Scholarship status Past performance Output (ML Model) Prediction Result: Graduate / Dropout / Enrolled Risk level (Low / Medium / High) Confidence score Example UI: Prediction: Dropout Risk Level: High Confidence: 82% 5️⃣ AI-Powered UX/UI Design (IMPORTANT ⭐) What you will mention clearly: AI tools used to design UI/UX Auto-generated layouts Color-coded risk indicators Accessibility-friendly design UI Features: Clean dashboard layout Card-based design Risk badges Minimal clicks (admin-friendly) 📌 This is a BIG PLUS point — mention it everywhere. 6️⃣ Explainable AI Section (Admin View) Shows: Feature importance (XGBoost) Top reasons for dropout risk Simple explanation (non-technical) Example: Student is at risk mainly due to low attendance and poor GPA. 7️⃣ Data Storage & History Stored in Database: Student details Prediction results Date/time of prediction Risk level history Admin can: Track improvement or decline over time 8️⃣ Model Handling Load trained ML model (best_model.joblib) Predict in real time Option to retrain model (future scope) 9️⃣ Optional (Extra Marks ⭐⭐⭐) CSV upload for bulk prediction Export prediction report Email alerts for high-risk students Dark mode dashboard