EPIC-4: Results Visualization

[donkasun]

Epic Overview

Create comprehensive results visualization and user experience components. Build advanced UI for displaying ML predictions, scenario comparison, and interactive result analysis.

Goals

• Create advanced results visualization components
• Implement ML prediction display and analysis
• Build scenario comparison and sharing features
• Develop comprehensive user experience with loading states and error handling

Child Tickets

• FWI-FE-401: Create useSimulation hook to handle complex scenario requests to FastAPI ML endpoints #10 - FWI-FE-401: Enhanced useSimulation hook
• FWI-FE-402: Update ControlPanel to gather scenario data and send to FastAPI ML prediction service #11 - FWI-FE-402: ControlPanel updates
• FWI-FE-403: Create LoadingOverlay component for ML prediction processing time #12 - FWI-FE-403: LoadingOverlay component
• FWI-FE-404: Create ToastNotification component for ML prediction success/error feedback #13 - FWI-FE-404: ToastNotification component
• FWI-FE-405: Use loading and error states from ML prediction API calls #14 - FWI-FE-405: Loading and error states
• FWI-FE-406: Create ScenarioSummary component to display submitted scenario with real data context #15 - FWI-FE-406: ScenarioSummary component
• FWI-FE-408: Connect SimulatorPage to display ML predictions and real data analysis from FastAPI #16 - FWI-FE-408: SimulatorPage integration

Dependencies

• EPIC-2 (Advanced frontend components)
• EPIC-3 (Advanced simulation logic)

Success Criteria

• Results visualization provides clear insights
• ML predictions are displayed effectively
• User experience is smooth with proper loading states
• Scenario comparison features work seamlessly