TravelItinerary

Inspiration

We wanted to solve the problem of generic travel plans by creating AI-based personalized itineraries based on individual tastes in food, music, and activities

What it does

TravelItinerary generates a personalized one-day cultural itinerary based on a user's travel destination, interests, food preferences, and group type. It combines cultural recommendations with AI to plan meaningful trips.

How we built it

Frontend: React with Vite, styled using React Hook Form and Zod Backend: Flask API to process inputs and handle requests APIs Used: Qloo for taste-based cultural data, OpenRouter GPT for itinerary generation

Challenges we ran into

CORS errors between frontend and backend Mapping user preferences into clean prompts Handling large frontend file uploads to GitHub Ensuring consistent API responses

Accomplishments that we're proud of

Successfully integrated GPT and Qloo to co-create a dynamic travel planner Created a fully functional full-stack app within the hackathon timeline Built an intuitive UI for non-technical users

What we learned

Prompt engineering for travel and cultural AI Working with real-world APIs and handling response data End-to-end full-stack integration and debugging

What's next for TravelItinerary

Add multi-day itinerary planning Include real-time weather and local events Deploy the app for public use

Built With

• axios-apis:-openrouter-(gpt-based-llm)
• css-frameworks:-react-(vite)
• dotenv-platforms:-localhost-(react-on-port-5173
• flask
• flask-libraries:-react-hook-form
• html
• javascript
• on
• port
• postman
• python
• qloo-taste-ai?-tools:-github
• typescript
• vs-code
• zod