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Main Page and More Information Page
Inspiration
At AdventurAI, our shared passion for exploration and travel, coupled with our fascination for user-centric systems like Tinder, served as the guiding inspiration for our project. Motivated by the complexity of trip planning and our curiosity about how platforms harness user preferences, we embarked on simplifying travel discovery. Our goal was to create a platform that curates engaging trip itineraries without heavy reliance on personalized data inputs, drawing parallels to matchmaking systems but tailored for travel enthusiasts seeking hassle-free adventures across the major cities of the United States.
What it does
Users can view a variety of major US cities and, just like Tinder, can swipe to the right in order to "like" a trip and swipe left to dislike a trip. Users can click on the more information button to get a detailed view of the trip, including top tourist locations, restaurants, hotels, etc. Using the Claude API, users can view a fully customized itinerary of their trip at the location.
How we built it
We used python for backend development in order to implement Claude AI functionality. We leveraged the Google Places API using JavaScript in order to generate location data of major US cities, which was then fed to the Claude AI in order to generate personalized trip itineraries. The interactive web app was then built using HTML and CSS for a similarly addictive user experience as Tinder.
Challenges we ran into
One major challenge was properly leveraging Flask in order for the JavaScript-based Google Places API responses and feeding it into the Claude AI, which we implemented using Python.
Accomplishments that we're proud of
Everyone on the team are amateur programmers, so everyone's contribution was enlightening and an accomplishment in and of itself! We are especially proud of being able to implement something as cutting edge as an LLM into this project.
What we learned
With AdventurAI's development, we learned the full creative process of making a new project from start to finish, especially with the constraints of a hackathon.
What's next for AdventurAI
We want to further develop user personalization for a more user-tailored experience. We also need to expand our datasets in order to include major cities across the globe.
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