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README.md

@@ -1,14 +1,37 @@
 ---
-title: Skin Lesion Classification
-emoji: 🏢
-colorFrom: yellow
+title: Medical Image AI Lab
+emoji: 🔬
+colorFrom: blue
 colorTo: green
 sdk: gradio
-sdk_version: 5.49.1
+sdk_version: 4.16.0
 app_file: app.py
 pinned: false
-license: apache-2.0
-short_description: BiomedCLIP based ViT for biomedical image analysis
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🔬 Medical Image AI Lab
+
+**An educational demo for ML/AI students, researchers, and educators**
+
+Learn how computer vision models analyze and misclassify real dermoscopy images.
+
+## 🎓 Educational Purpose
+
+This interactive demo lets you explore:
+- How ML models handle ambiguous medical images
+- The difference between confidence and correctness  
+- Why medical AI is challenging
+- Dataset bias and class imbalance effects
+- Model uncertainty and calibration
+
+## 📊 Model Details
+
+- **Architecture**: Vision Transformer (ViT) with BiomedCLIP weights
+- **Dataset**: HAM10000 (10,015 dermoscopy images)
+- **Test Accuracy**: 51.16% (3.6x better than random guessing)
+
+## ⚠️ Disclaimer
+
+**For educational and research purposes ONLY. NOT for medical diagnosis.**
+
+Always consult a board-certified dermatologist for actual medical concerns.