| title: Explainable & Auditable Alloy Defect Detection | |
| emoji: π | |
| colorFrom: gray | |
| colorTo: red | |
| sdk: gradio | |
| sdk_version: 5.31.0 | |
| app_file: app.py | |
| pinned: false | |
| # Explainable & Auditable Alloy Defect Detection | |
| Group 8's submission for Problem #10 (MIT Professional Education, "Applied AI for | |
| Materials Discovery," July 2026). | |
| Upload a steel-surface micrograph and see: the classifier's prediction, a live | |
| Grad-CAM heatmap explaining it, the deletion-curve faithfulness test that checks | |
| whether the heatmap is trustworthy, and the Conformal Risk Control guarantee that | |
| gives a provable β not just calibrated β bound on error rate. | |
| Full notebook, one-page summary, and slides in the companion project folder. | |