Coaster Swapp

Inspiration

Wait time for rides are too high for theme park visitors. We wanted to change that and give customers a better theme park experience.

What the App does

The App takes in information about tourist flow and evens out the number of people at high-demand rides by incentives that will make people travel to smaller line rides.

How we built it

We used computer vision and the statistical Markov Model to gather the amount of visitors in each section of the park. We then used that data and heatmap.js to create a heatmap of different sections of the park, detailing which regions had high and low population congestion. The app then lists promotion information for certain rides based off the population data and the heatmap.

Challenges we ran into

HTML Image maps use fixed coordinates. We had difficulties using the app on a variety of screen sizes due to this limitation.

Accomplishments that we're proud of

Working together as a team without having drawbacks because of our different schedules and time zones. It was good to see the team be empathetic when some team members couldn't continue while keeping the focus on the goals for design and prototyping, which showed that we could improvise through the uncertainty of the situation.

What we learned

We learned about the process of making an application together with teammates from across the country. We learned how to innovate under intense time constraints and different timezones.