Digital Health Twin Diagnostics is a chest X-ray analysis

Digital Health Twin Diagnostics is a chest X-ray analysis demo that combines a FastAPI inference service with a TanStack Start + React frontend. The system uploads a chest X-ray, runs EfficientNet-B0 based pneumonia detection, and returns an explainable result with Grad-CAM visualizations, hotspots, and a text report.

This project is a research prototype. It is not a medical device and should not be used for clinical decision-making.

:What It Does

- Upload a chest X-ray image from the browser.

- Send the image to the backend for real model inference.

- Return a prediction of `NORMAL` or `PNEUMONIA` with confidence and latency.

- Generate Grad-CAM heatmaps and hotspot markers for explainability.

- Display a clinical summary, timeline, analytics, and event stream in the UI.

- Allow downloading a plain-text radiology report.