Active
AI Model
Last trained: 2h ago
94.2%
Accuracy
Validation score
8
Predictions
Sections analyzed
3
High Risk
Sections flagged
Failure Probability by Section
AI-predicted failure risk scores
Risk Factor Analysis
Multi-factor risk assessment model
Section-wise Risk Ranking
AI-generated inspection priority schedule
| Rank | Section | Failure Prob. | Risk Level |
|---|---|---|---|
| #1 | DNR-PNBE | 58% | 🔴Critical |
| #2 | SEE-GAYA | 46% | 🟠Urgent |
| #3 | PNBE-JMPR | 42% | 🟠Urgent |
| #4 | MKA-SEE | 33% | 🟡Attention |
| #5 | JMPR-BKP | 29% | 🟡Attention |
| #6 | BKP-RJPB | 11% | 🟢Normal |
| #7 | GAYA-KIU | 9% | 🟢Normal |
| #8 | RJPB-MKA | 7% | 🟢Normal |