Maybe you have an hour between classes, an afternoon to spare, or a weekend in a new city. You want to find something to do, experience new things in both familiar or distant locations. However, it's late, it's cold, maybe it's raining, your wallet's empty, or you don't have a car. Online searches don't consider these factors.
Aventure (TM) curates location-based recommendations by analyzing environmental, personal and trending aspects. We consider the details so you can spend your time experiencing the city.
What it does
By analyzing several static and dynamic aspects, including budget, time, day, weather, temperature, distance, transport types, and more, we personalize recommendations that best fit your preferences. Experience new music, food, landmarks, events, and more with Aventure (TM).
How we built it
Through Figma and Principle prototyping, SaaS and Spring development, we built a POC demo of Aventure (TM).
Challenges we ran into
Accomplishments that we're proud of
Realization of an idea despite a team of strangers and heterogeneous skill sets.
What we learned
Exchange of tech stack knowledge.
What's next for Aventure
Design and implement of unexplored aspects that were outside the scope of the demo.