File size: 720 Bytes
771b5ff 2d140d5 771b5ff 1bf4a16 771b5ff 2d140d5 e20e351 2d140d5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ---
title: Explainable & Auditable Alloy Defect Detection
emoji: 🔍
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 — not just calibrated — bound on error rate.
Full notebook, one-page summary, and slides in the companion project folder.
|