Demonstration predictions showing likely academic outcomes and contributing factors.
Predictions generated
20
High risk
5
Medium risk
5
Low risk
10
Predicted risk bands for the current cohort.
Placeholder metric for the future model service.
81%demo
Accuracy figures are demonstration placeholders and are not produced by a trained model. When the Python prediction service is connected, this panel will show evaluated precision, recall, and calibration against historical outcomes.
Students whose current indicators suggest immediate academic follow-up.
Rahim Ahmed
Computer Science & Engineering
Arif Chowdhury
Computer Science & Engineering
Kamal Uddin
Electrical & Electronic Engineering
Shakib Hasan
Civil Engineering
Nayeem Chowdhury
Computer Science & Engineering
Arif Chowdhury
Computer Science & Engineering
Predicted performance: High likelihood of course failure
Confidence: 90%(demo)
Contributing factors
16 Aug 2026
Kamal Uddin
Electrical & Electronic Engineering
Predicted performance: At risk of delayed graduation
Confidence: 84%(demo)
Contributing factors
16 Aug 2026
Shakib Hasan
Civil Engineering
Predicted performance: High academic risk
Confidence: 86%(demo)
Contributing factors
16 Aug 2026
Nayeem Chowdhury
Computer Science & Engineering
Predicted performance: Critical academic risk
Confidence: 92%(demo)
Contributing factors
16 Aug 2026
Fatima Khan
Business Administration
Predicted performance: On track for distinction
Confidence: 91%(demo)
Contributing factors
15 Aug 2026
Mehnaz Akter
Business Administration
Predicted performance: Strong standing
Confidence: 88%(demo)
Contributing factors
15 Aug 2026
Anika Tasnim
Business Administration
Predicted performance: Excellent
Confidence: 93%(demo)
Contributing factors
15 Aug 2026
Sumaiya Islam
Business Administration
Predicted performance: Excellent early standing
Confidence: 86%(demo)
Contributing factors
15 Aug 2026