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Travel AI · 2026

Trip Summary AI

An AI travel-planning engine that turns natural conversation into complete itineraries.

  • Python
  • FastAPI
  • OpenAI
  • AsyncIO
  • SerpAPI
  • Google Places API
  • WebSockets
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Project overview

An intelligent travel-orchestration backend that turns conversational input into structured plans: multi-city itineraries, flight and hotel suggestions, local attractions and day-by-day schedules.

  • AI-poweredTrip planning automation
  • 4+External APIs integrated
  • YesMulti-city support
  • Real-timeLive progress streaming
AI features

What it does.

  1. 01Conversational trip-requirement extraction
  2. 02AI-generated day-by-day itineraries
  3. 03Multi-API travel orchestration
  4. 04Structured AI response validation
  5. 05Real-time itinerary progress updates
Product screens

The product, as built.

Real screenshots from the project. Select any image to enlarge it.

Technology stack

How the stack fits together.

The technologies actually used in the project, grouped by their layer in the system.

  1. Backend & orchestration

    • Python
    • FastAPI
    • AsyncIO
    • SerpAPI
    • Google Places API
    • WebSockets

  2. AI & reasoning

    • OpenAI
Impact

What it changed.

Key outcomes

  • Reduced travel planning complexity significantly.
  • Enabled users to move from ideas to complete itineraries faster.
  • Created scalable AI orchestration for travel experiences.
  • Improved travel personalisation using conversational AI.

Engineering challenges solved

  • Coordinating multiple external APIs reliably
  • Maintaining long-running session consistency
  • Generating realistic travel plans from ambiguous prompts
  • Handling asynchronous orchestration pipelines

What could come next

  • Direct booking integrations
  • AI-powered budget optimisation
  • Personalised travel memory generation
  • Collaborative group trip planning
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