Flutterflow Player Prop AI App

The screens and user journeys for my player-prop application are already laid out in Flutterflow; what I am missing is the technical glue that turns those designs into a working product. The back end is a Firebase project that’s set up but not yet linked to the Flutterflow front end. I need you to wire the two together, then embed an AI model able to predict over/under outcomes for individual player props and output concise reports a user can review before placing a bet.

What I have
• All UI/UX completed in Flutterflow
• Firebase project with collections prepared


What I need from you
1. Connect every relevant screen, widget and action in Flutterflow to the existing Firebase database so data reads/writes, auth and real-time updates work seamlessly.
2. Expose the AI model to the app—whether as a Cloud Function, a hosted REST endpoint or another clean solution—so the user can request:
• real-time predictions of player performance (over/under)
• a short, formatted report summarizing those predictions
3. Tie the results back into the UI, displaying them in the design I have created while handling loading, error and edge cases.
4. Final smoke testing on both iOS and Android builds to confirm overall functionality.

Acceptance criteria
• Live connection to Firebase with no broken queries
• Predictive calls return within acceptable latency (<2 s) and display correctly
• Generated report text matches the specification and saves to the user’s history
• Store and retrieve user preferences without data loss

If you’re comfortable moving between Flutterflow, Firebase and AI model integration, I’m ready to share the project and get this shipped.