Inspiration

The common problem plagues teenagers and young adults across the world. Where do you go to meet up. As it always has been, these are the years where we most often seek social interaction, yet the means for doing so has always been more difficult to decide upon than it seems.

What it does

Planeat takes location and personal preferences data from each user involved in a plan to meet up, and generates a ranked list of options deemed suitable for all parties. Doing so provides personally tailored results optimized to where ever any user may be.

How I built it

Challenges I ran into

Allowing users to check-in on multiple devices without duplicating input.

Accomplishments that I'm proud of

What I learned

What's next for Planeat

ML algorithm to tailor preferences to every individual user, based off of consumer patterns and activity of similar uses.

Functionality to accommodate for carpooling -- users can choose to pickup another person, and have the total travel time considered when planning by proximity.

XE currency conversion API for international functionality.

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