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Phase 4 Sprint 2: Smart Suggestions #9

Description

@guyghost

Build AI-powered recommendation engine for personalized event planning suggestions based on user history, preferences, and constraints.

Tasks

  • Design recommendation algorithm architecture
  • Implement user preference data collection
  • Build date/location/activity suggestion engine
  • Add budget/time constraint analysis
  • Create A/B testing framework for recommendations
  • Integrate suggestions into event creation flow

Acceptance Criteria

  • Personalized date suggestions based on history
  • Location recommendations with accessibility scores
  • Activity suggestions matching group preferences
  • A/B testing infrastructure in place

Timeline

2026-02-01 to 2026-02-15

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