Solar Flux Forecasting is an end-to-end system created by CSULA students in collaboration with the Aerospace Corporation. Its core goal is the accurate short-term prediction of F10.7 Solar Flux values, a quantity used by operators and atmospheric models as a proxy for solar-driven influence on the upper atmosphere. As well as user-friendly visualization of said predictions against historical data. 

Trained ML models run in a dedicated service that handles predictions. When a forecast is needed, the backend fetches the latest solar data, checks a local cache, then sends it to the model and saves the result to the database. The backend exposes this through a simple API covering forecast history, the latest prediction, and ground truth comparisons. The frontend calls that API to display charts and data to the user.