AI Copilot Dashboard

Intelligent predictions and actionable insights powered by AI

AI Analysis Filters:
AI 94%

Students at Risk

47

Students predicted to underperform this term

+8 from last week
AI 89%

Attendance Alerts

12 Classes

Classes below 90% attendance threshold

-3 from last week
AI 91%

Fees Collection Forecast

UGX 2.1B

Expected collection by term end

+12% above target
AI 87%

Discipline Trends

↓ 18%

Predicted decrease in incidents

Improvement trend detected
Performance Prediction Model
AI-predicted vs actual performance trends
Fees Collection Projection
AI-forecasted collection vs actual and target
Department Performance Analysis
Multi-dimensional performance metrics across departments
Attendance Risk Analysis
AI-predicted attendance trends by class level
P1-P3LOW RISK

Current

95.2%

AI Prediction

96.1%

P4-P7LOW RISK

Current

94.8%

AI Prediction

95.5%

S1-S3HIGH RISK

Current

88.5%

AI Prediction

87.2%

S4-S6LOW RISK

Current

96.3%

AI Prediction

97%

High-Risk Students Requiring Intervention
AI-identified students with performance concerns
StudentClassRisk ScoreAt-Risk SubjectsAttendanceFees StatusAction
SN
Sarah Nakato
P5A87
MathScience
78%Paid
JK
John Kamau
S2B82
EnglishHistory
65%Partial
GA
Grace Atim
P7C79
Math
88%Paid
DO
David Okello
S3A76
ScienceMath
72%Outstanding
AN
Alice Nambi
P6B73
English
81%Paid

AI Copilot Summary

Based on comprehensive data analysis, the AI Copilot has identified 47 students requiring immediate attention. Primary concerns include declining attendance in S1-S3 classes and performance gaps in Mathematics and Science. However, fees collection is trending 12% above target, and overall discipline incidents are projected to decrease by 18% this term.

DRAIS 0.0.0040 • AI Copilot Dashboard • Powered by Advanced Machine Learning