🫁 Tuberculosis Detection AI

Advanced chest X-ray analysis with Explainable AI

99.3% Accuracy | 89% Energy Efficient | Powered by Adaptive Sparse Training

Chest X-Ray Image

Enable Grad-CAM Visualization (Explainable AI)

Shows which areas the model focuses on

Click to load example

Prediction Confidence

Upload an X-ray image and click 'Analyze' to get results.

🔬 Explainable AI Visualizations

See exactly where the model is looking to make its decision

Original X-Ray with Prediction

Attention Heatmap

Explainable AI Overlay

Metric	Value
Accuracy	99.29%
Energy Savings	89.52%
Training Method	Adaptive Sparse Training (AST)
Architecture	EfficientNet-B0
Dataset	TB Chest X-Ray Database (~3,500 images)

This model is designed to run on low-power devices, making it accessible for:

Uses only 10% of computational resources compared to traditional models:

This tool is designed to assist healthcare providers, not replace them:

This AI tool can help with:

Integration: Can be integrated into existing PACS systems or used standalone.

Upload X-Ray
- Click the upload area or drag & drop
- Supports PNG, JPG, JPEG formats
- Or use webcam/clipboard
Enable Grad-CAM (Recommended)
- Check the box to see AI explanations
- Shows which lung areas the model focuses on
- Helps understand the decision-making process
Analyze
- Click "🔬 Analyze X-Ray" button
- Wait 2-3 seconds for processing
- View results and visualizations
Interpret Results
- Check prediction confidence
- Review probability breakdown
- Read clinical interpretation
- Examine Grad-CAM heatmaps
Clinical Action
- Follow recommended actions
- Consult healthcare provider
- Arrange confirmatory testing if needed

🌍 Built for Global Health | 💚 Sustainable AI | 🔬 Explainable AI