- Built a two‑stage U‑Net ✚ CNN pipeline—segmentation + classification.
- Achieved 89.3 % accuracy / 89.1 % precision over 7 lesion classes (HAM10000).
- Deployed interactive React front‑end + Flask API; state saved in Firestore.
- Designed for dermatologists to expedite early‑stage cancer screening.