Travie.ai – AI-Powered Travel Planning Platform

Inspiration

Planning a trip should be exciting—but in reality, it’s stressful. People juggle dozens of tabs, outdated blogs, and scattered recommendations.
We asked ourselves:
“What if planning a trip could be as easy as getting all the planning and booking details in seconds?”

That vision inspired us to create Travie.ai, an AI-powered travel planning platform that combines Google Gemini’s intelligence with Google Maps data for accurate, real-time travel experiences.


What it does

Travie.ai creates personalized, day-by-day itineraries in seconds using Google Gemini for AI-driven recommendations and the Google Maps Platform for precise, real-time data.

With Places API, we provide verified attractions, restaurants, and hidden gems. Users can:

  • Plan and customize their trips
  • Access real-time location details like hours, ratings, and directions
  • Book everything—flights, stays, and activities—all in one place

Our goal: make travel planning effortless, smart, and inspiring.


How we built it

  • AI Engine

    • Used Google Gemini as the LLM for itinerary generation and personalization
    • Designed a structured prompt pipeline for consistent results
  • Google Maps Integration

    • Places API for curated recommendations and verified data
    • Maps JavaScript API for dynamic map visualization and navigation

Key Formula:

$$ \text{User Experience} = \text{AI Intelligence (Gemini)} + \text{Google Maps Accuracy} + \text{One-Stop Booking} $$


Challenges we ran into

  • Performance: Initial generation took ~22 seconds; optimized to ~5 seconds using caching and pre-fetching
  • Data Filtering: Places API returns many results; created custom ranking for relevance
  • Route Optimization: Sequencing multi-day trips across multiple cities required advanced algorithms
  • Fusion of LLM + Map Data: Ensuring AI-generated plans align with real-world data (locations, opening hours, distances)

Accomplishments that we're proud of

  • Built an MVP combining Gemini and Google Maps in a real-world application
  • Reduced itinerary generation time by 77%
  • Delivered a user-friendly interface for end-to-end trip planning and booking
  • Designed a scalable architecture ready for global use

What we learned

  • The power of Google Maps APIs for accurate, real-time travel data
  • How to combine LLMs with structured data for smart, practical results
  • The value of UX design for simplifying complex processes
  • Balancing speed, accuracy, and personalization in AI-driven products

What's next for Travie.ai – AI-Powered Travel Planning Platform

  • Mobile App Launch: iOS and Android for on-the-go planning
  • Deeper Personalization: AI-driven traveler profiles for hyper-custom recommendations
  • Social & Collaboration Features: Co-planning trips with friends
  • Dynamic Real-Time Updates: Weather-based itinerary adjustments and live suggestions
  • Global Partnerships: Expand booking integrations for a complete one-stop travel experience

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