AI Intelligence
Predictive analytics, risk scoring, and automated interventions
Risk Alerts
4
Students flagged
Automations Active
4
1 paused
Interventions Triggered
274
This month
Prediction Accuracy
87%
+3% improvement
Predictive Risk Scoring
AI-identified students at risk of dropout or academic failure
| Student | Grade | Risk Score | Contributing Factors | Prediction | Recommended Action |
|---|---|---|---|---|---|
| Saad Ashraf | 3A | 92 | Attendance: 65%, Mastery: 38%, 3 health flags | High dropout risk | |
| Bilal Khan | 4B | 78 | Attendance: 72%, Mastery: 45%, behavior concerns | Academic failure risk | |
| Usman Ali | 3B | 65 | Attendance: 78%, declining grades | Performance decline | |
| Hassan Raza | 2B | 45 | Attendance dipped, mastery plateau | Mild concern |