HemanthKumar-2006/Solar-Flare-Prediction ? reverse-engineered prompt

Build me a solar flare nowcasting and forecasting app for Aditya L1 data.

I want a clean Python project that takes soft X ray and hard X ray readings, detects flare events as they happen, and also gives a risk forecast about 10 to 15 minutes ahead. It should include a simple dashboard where I can replay a real flare day, see the forecast rise before the flare peak, view performance charts, and browse a flare catalog and wavelet based science view. The app should work offline using precomputed data, and the backend should just serve the saved results quickly instead of recalculating everything every time.

Please make the pipeline organized so I can run the data processing, flare detection, forecasting, and dashboard export separately. Also include a way to verify that the reported numbers and results stay consistent over time. If you need to check current docs or best practices for anything, look them up online first.