Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+tags:
+  - skin-disease
+  - medical
+  - image-classification
+  - keras
+  - efficientnet
+  - dermatology
+  - computer-vision
+  - healthcare
+datasets:
+  - custom
+widget:
+  - src: https://huggingface.co/spaces/Tanishq77/skin-condition-classifier
+    example_title: Try it live with Streamlit!
+---
+# 🧠 Skin Condition Classifier (EfficientNetV2B0)
+
+This model classifies **facial skin images** into **6 common dermatological conditions** using a fine-tuned [EfficientNetV2B0](https://keras.io/api/applications/efficientnet/#efficientnetv2b0-function) architecture.
+
+## 📌 Supported Skin Conditions
+- Acne
+- Carcinoma
+- Eczema
+- Keratosis
+- Milia
+- Rosacea
+
+## 🧪 Model Performance
+- **Final Test Accuracy**: `95.60%`
+- Evaluated on a balanced, augmented custom dataset of real-world dermatological images.
+- **Confusion Matrix** indicates strong separation for all classes, with minor overlap in visually similar conditions.
+
+## 🏗️ Model Architecture
+
+- ✅ **Backbone**: EfficientNetV2B0 (pretrained on ImageNet)
+- 🔁 Global Average Pooling + Dense(512, ReLU) + Dropout(0.4) + Dense(6, Softmax)
+- 📉 **Loss Function**: `sparse_categorical_crossentropy`
+- ⚖️ **Class Weights**: Applied to handle minor variations
+- 🧠 Fine-tuned with learning rate scheduling and layer unfreezing
+
+## 🧠 Usage
+
+### 🔍 Load the model (Keras format)
+
+```python
+from tensorflow.keras.models import load_model
+model = load_model("path/to/saved_skin_model")
+````
+
+### 🖼️ Input Format
+
+* Image size: **224x224**
+* Input dtype: `float32`
+* Preprocessing: Use `preprocess_input` from `tensorflow.keras.applications.efficientnet_v2`
+
+```python
+from tensorflow.keras.applications.efficientnet_v2 import preprocess_input
+import numpy as np
+img = preprocess_input(img)  # Ensure shape is (1, 224, 224, 3)
+pred = model.predict(img)
+```
+
+### 📊 Output Format
+
+* Softmax probabilities for 6 classes.
+* `argmax(pred)` gives class index from 0–5.
+
+---
+
+## 🧾 License
+
+[MIT License](LICENSE)
+
+---
+
+## 👨‍💻 Author
+
+**Tanishq Shinde**
+B.E. Computer Engineering, PICT
+🔗 [GitHub](https://github.com/Tanishq-789) | [LinkedIn](https://linkedin.com/in/tanishqshinde) | [Hugging Face](https://huggingface.co/Tanishq77)
+
+---
+
+> 🔬 For educational and non-diagnostic purposes only. Always consult a medical professional.
+
+```
+---