Suns Out Hacks Out 2020
We drew inspiration from the frustration of sometimes not being able to choose the most optimal location for dining because of heavy foot traffic at certain facilities. Our app aims to fix this by routing the user to the best facility, based on the number of users at certain locations.
What it does
The app uses the Radar.io API to track the user's location once they open the page, and updates the Radar.io dashboard accordingly with the new information.
How I built it
Accomplishments that I'm proud of
What I learned
What's next for Dining Assist
Our next goal after the hackathon is to expose the dashboard to the user in a way that only says: “This dining location is too crowded - avoid it if possible” or “This area is not crowded - hope you have a nice meal!
Challenges I ran into
Since this was our first hackathon, we ran into difficulties every step of the way. Although fixing these problems took a lot of time and patience, we were able to work effectively as a team.
Starting from setting up a Python environment in G Cloud to getting Radar API to do what we want, we faced many challenges. But within the eight hours, we were able to overcome these obstacles, and create a basic program that enables us to view the amount of people in a given area in the Radar dashboard.