What it does
IntelliTrip generates a personalized itinerary for users using travel preferences. Users can either travel solo or create groups to help streamline the travel process between their friends.
How we built it
Using Flask and Cohere's API calling, we created a backend model that was trained with Cohere generate to output itineraries based on a certain location. The model also uses user-inputted personality data to help develop a personal day-by-day plan of what to do in a new city. The main languages used in this project are: Python, HTML, CSS, and JavaScript.
Challenges we ran into
A key challenge we faced was creating and training a robust model for our project. Another key challenged was connecting the backend with the frontend.
Accomplishments that we're proud of
We are proud to have completed a fully functional web application in the time constraints given. We are also proud of learning new API applications such as Cohere in this short time.
What's next for IntelliTrip
IntelliTrip's next steps are both scalability and creating a more refined model.
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