Inspiration :

We wanted to reinvent the way people dream, plan, and share their travels ideas and inspirations.

Social media today is full of random photos — but it rarely helps you live those experiences. We imagined a place where every post could become your next adventure, blending authentic stories, AI-driven recommendations, and community energy.

The ultimate goal? To create the tools that help people live the trip everyone would love the most — whether it’s your own perfect solo journey or the ideal group adventure shaped by collective vibes. So we created AdvenTrip.

What it does :

Adventrips users’ explore interactive “trip cards” that showcase real and AI-generated journeys — each with visuals, key details, and AI-powered suggestions for flights, stays, and activities.

When you create an Adventure — solo or with friends — the app builds a dedicated feed tailored to yours ou your group’s preferences and likes.

Behind the scenes, a reinforcement learning–based language model dynamically optimizes trip recommendations using real-time user feedback. Meanwhile, the Bright Data MCP server retrieves up-to-date data from travel websites — including flight availability, hotel pricing, and local experiences — which the Claude model then integrates into a personalized, end-to-end itinerary.

We gather this data so users can instantly project themselves into the adventures they discover — seeing real options, comparing prices, and even budgeting or booking a similar journey on the spot.

How we built it :

To bring that vision to life, we used Figma to design an intuitive mobile-first interface focused on motion and card flipping interactions.

For the front end, we built in Cursor to prototype interactive trip cards and dynamic feeds connected to user preferences.

On the backend, we deployed an MCP server, which powers data collection and communication between our AI systems and external APIs.

It connects to Bright Data MCP for real-time scraping of flight, hotel, and activity data — giving every trip card live, actionable information.

Accomplishemts that we’re proud of:

This is our first hackathon — and we came here from Sri Lanka, Moldova, France, and the US with the same questions: how can technology make people feel more connected through travel? How can we make travel blogs more interactive? How can we finally know what our favorite influencers truly do when they’re on vacation?

In just a few hours, we went from strangers to teammates, united around a problem we all cared about.

We built Adventrips, a place where bloggers, influenceurs, and dreamers can share new experiences, inspire each other, and connect across the world.

What we learned:

We learned how much you can grow by sharing what you know as each of us brought something different in computer science, design, and creativity.

We also realized how important it is to focus on the small details, even if it sometimes makes the process more complex and the development longer.

What’s next for Adventrip :

We want to enrich the feed with AI-generated adventures — new destinations, visuals, and ideas that keep the platform fresh and inspiring every day.

At the same time, we plan to collaborate with travel influencers to help Adventrip reach a global audience. After sharing their vacation posts on Instagram, they’ll be able to link directly to their Adventtrips journey, letting followers dive deeper into the story — from the pictures to the full trip details.

Built With

  • and
  • and-activities
  • and-an-mcp-server-for-the-backend-architecture.-we-integrated-bright-data-mcp-to-collect-live-information-about-flights
  • claude
  • cursor-for-front-end-development
  • feed
  • figma-for-ui/ux-design
  • for
  • generation
  • hotels
  • llm-based
  • personalized
  • tools
  • trip
  • used
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