We wanted to hang out. But didn't know which locations everyone preferred. The inspiration came from when2meet, which visualizes a time that is free for most people.

What it does

Instead of simply visualizing a time, we are suggesting places that most people in the group enjoy based on time, interests, and price preferences.

How we built it

  • sheer determination.

Challenges we ran into

  • github version control
  • efficient algorithm design in backend to decrease load times
  • retrieval and ranking of suggested hang-out locations
  • overall architectural structure of server, database, and client-side connection

Accomplishments that we're proud of

  • solving the challenges above

What we learned

  • modular programming and communication
  • swift
  • be wary of scope of project for a hackathon

What's next for where2meet

  • further improve how we rank the suggested locations and maybe implement learned, personalized locations
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