# Tuberculosis CNN Model

This repository contains a CNN model for classifying chest X-ray images as **Normal** or **Tuberculosis**.

## Dataset
- **Source**: TB Chest Radiography Database
- **Input**: 256x256 grayscale images
- **Classes**: Normal, Tuberculosis
- **Accuracy**: ~93%

## Usage
```python
from handler import TBClassifier
import cv2

classifier = TBClassifier()
image = cv2.imread("path/to/xray.jpg")
result = classifier.predict(image)
print(f"Prediction: {result['prediction']}, Confidence: {result['confidence']:.4f}")
```

## Model Details
- **Framework**: TensorFlow 2.17.0
- **Format**: SavedModel
- **Preprocessing**: Grayscale, 256x256, normalized

## Medical Disclaimer
For educational use only. Consult healthcare professionals.

## Tags
Medical Imaging, Deep Learning, TensorFlow, Tuberculosis