# Tech Tonic

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Karthikeyan S](https://cerebralvalley.ai/u/karthikeyan-s)
- **GitHub:** https://github.com/karthikeyansk851-star/Silent-disease-detector
- **Demo video:** https://youtu.be/gEhIAjnvmGA
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5336

Skin cancer is often found late in rural areas because dermatologists are far away. Silent Disease Detector is an explainable AI screening aid: the user uploads a photo of a skin lesion, and the app predicts its likely type across 10 classes (melanoma, basal cell carcinoma, SCC, nevus, actinic keratosis, benign keratosis, dermatofibroma, vascular lesion, normal skin, scar). It shows a Grad-CAM++ heatmap of why the model decided, and raises a melanoma safety alert using a lowered probability threshold to reduce missed cases. An OpenCV lesion pre-filter stops unclear photos from getting a false result. Built with PyTorch, EfficientNet-B0, Streamlit, and an Android WebView app, trained on about 16,500 images (HAM10000 + ISIC 2019). It is a research prototype, not a diagnosis tool. Known limits: melanoma recall is about 0.86 (target 0.90), and accuracy drops on non-dermoscopy photos. The live demo link is https://silent-disease-detector.streamlit.app

## More from Meta Global AI Developer Hackathon

- [Pisgah Health](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5333)
- [Ttaku](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5334)
- [Azlan](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5335)
- [UniPass AI](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5337)
- [Pitwall](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5338)
- [concat](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5339)

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