Update README.md

README.md

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----
-license: mit
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+---
+license: mit
+tags:
+- medical
+- cnn
+- dermatology
+- melanoma
+---
+
+# simpleNet: Skin Lesion Classification (Benign vs Malignant)
+
+**simpleNet** is a lightweight Convolutional Neural Network (CNN) model for binary skin lesion classification, distinguishing between **benign** and **malignant (melanoma)** cases.  
+
+## Model Description
+- Architecture: Custom CNN with 3 convolutional blocks and regularization (Batch Normalization, Dropout, L2).  
+- Input size: **224 × 224 × 3 RGB images**.  
+- Output: 2 classes → `["benign", "malignant"]`.  
+- Trained on a combination of curated skin lesion datasets, including **ISIC** samples.  
+
+The model is optimized for **generalization** and has been validated with external images, showing robust performance for melanoma detection.
+
+## Intended Use
+- **Educational and research purposes**.  
+- Demonstrating the potential of CNNs for medical imaging.  
+- Not intended for clinical use without further validation and regulatory approval.  
+