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AI-Enhanced Results Implementation Todo

Phase 1: Core AI Infrastructure

  • Create AI service module for processing project data
  • Set up API endpoints for AI-powered recommendations
  • Implement data transformation utilities
  • Create base UI components for AI results

Phase 2: Feature Implementation

  • Implement Project Recommendations component
  • Enhance Search functionality with AI capabilities
  • Add Related Projects to Project Modal
  • Implement Trend Analysis in Statistics panel

Phase 3: UI Integration

  • Design and implement AI result cards with glassmorphism
  • Create loading states for AI processing
  • Implement error handling and fallbacks
  • Ensure theme compatibility across all AI components

Phase 4: Testing & Validation

  • Test AI result quality and relevance
  • Validate performance across different devices
  • Ensure accessibility of all AI components
  • Verify theme consistency in Dark, Light, and Blue themes

Phase 5: Deployment

  • Build final application with AI enhancements
  • Deploy to production environment
  • Verify public access and functionality
  • Document AI features for users