The AI Copilot is DRAIS's most advanced feature, leveraging machine learning to analyze patterns across student performance, attendance, fees, and behavior. It provides predictive insights with 94% accuracy and automated recommendations.
Identifies students at risk of falling behind based on attendance, performance, fees status, and behavioral patterns.
Forecasts term results with class-level and individual student predictions.
Predicts fee collection rates and revenue projections for budget planning.
Real-time notifications for critical situations with recommended actions.
AI-generated suggestions for budget allocation and infrastructure improvements.
Navigate to AI Copilot from the sidebar. View 4 predictive insight cards showing students at risk, attendance alerts, fees forecast, and discipline trends.
Each card displays AI confidence scores (87-94%). Click any card to see detailed breakdowns and charts.
Review the table of 47 students identified by AI with risk scores. Filter by class, subject, or term.
Click 'Decision Insights' to see student interventions, resource allocations, and term predictions with recommended actions.
AI alerts appear automatically in the bottom-right corner. High-priority alerts (fees, attendance) show first with confidence scores and recommended actions.
Click 'Implement Intervention Plan' or 'Approve & Implement' to acknowledge AI suggestions. Track outcomes in analytics.
Our AI assistant can answer questions about this feature in real-time.