Upload README.md with huggingface_hub

README.md

@@ -17,27 +17,28 @@ tags:
 
 # 🩺 Tuberculosis Detection CNN
 
-Classify chest X-ray images as **Normal** or **Tuberculosis** using a CNN.
+Classify chest X-ray images as **Normal** or **Tuberculosis** using a CNN trained on the TB Chest Radiography Database.
 
 ## How to Use
-- Upload a chest X-ray image (JPEG/PNG)
-- Click "Submit"
-- View prediction and confidence
+1. Upload a chest X-ray image (JPEG/PNG).
+2. Click "Submit".
+3. View the prediction and confidence score.
 
 ## Performance
 - **Test Accuracy**: ~93%
 - **Dataset**: TB Chest Radiography Database
 - **Model**: CNN with TensorFlow/Keras
 - **Input**: 256x256 grayscale images
+- **Classes**: Normal, Tuberculosis
 
 ## Technical Details
 - **Framework**: TensorFlow 2.17.0
 - **Format**: SavedModel
-- **Preprocessing**: Grayscale, 256x256, normalized
-- **Output**: Binary classification
+- **Preprocessing**: Grayscale, resized to 256x256, normalized to [0,1]
+- **Output**: Binary classification (Normal or Tuberculosis)
 
 ## Medical Disclaimer
-For educational use only. Consult healthcare professionals.
+This model is for educational purposes only. Always consult healthcare professionals for medical diagnosis.
 
 ## Tags
 Medical Imaging, Deep Learning, Healthcare AI, Tuberculosis