Other Data
(Behavior, Feedback)

Fee Payment Records

Assessment/Test Scores

Attendance Data
(CSV/ERP)

Data Ingestion & Preprocessing
(ETL, Cleaning, Merging)

Feature Engineering
(Attendance %, Score Trends,
Fee Status, Backlogs)

Machine Learning Models
(Logistic Regression, Random Forest,
SVM, Neural Networks)

Rule-Based Engine
(Thresholds: <70% attendance,
score drop, fee due)

Risk Categorization
Low (Green) / Medium (Yellow) / High (Red)

Dashboard & Visualization
(React + Flask/Django)

Automated Alerts
(Email / SMS / WhatsApp)

Counselor / Mentor Module
(Intervention Tracking,
Notes, Follow-ups)