We are looking towards a bittersweet future where we might still need to distance ourselves from other people while we are outside. And that includes when we work out. Imagine going out for a jog and having to come into close contact with other people who had the same idea as you, and unfortunately went to the same nice park at the same time as you. If only you could have known!

What it does

This is where SDW comes into play. Be able to take a quick glance of your city and know exactly where people are planning to go cycling, jogging, swimming. And avoid those areas! Want to contribute to the platform and mark an area where you're going to be minding your business? You can do that aswell. Bonus points, people will also avoid you now that they know wherein you plan to workout. Everyone wins.

How we built it

We're building this app using the latest web technologies available, including a powerful framework for reactive behavior (Vue). For our backend and data, we're setting up a web service using Kotlin connected to a PostgreSQL database.

Challenges we ran into

The map interface for movile is a big challenge, We had to come up with a custom solution for drawing a useful shape on a map while still being useful and very quick to do for the end user.

Accomplishments that we're proud of

We were able to create the app in record time, and submit it to the hackathon for review. The mobile interface is really easy to use.

What we learned

Our team has learned how to quickly evaluate a problem and find a solution, as well as poving that a working PoC is worth more than a few words. However we weren't able to focus so much on the networking and peer 2 peer part of the hackathon due to so much time spent coding. Next time we want to bring along another team member to take care of the PR part.

What's next for Social Distance Workout

There is an interest in this kind of tool from several Mentors, we want to continue moving forward and bring this to the general public.

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