UofSC Campus Activities

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  This is the main screen of the project. In this image, you can see the population hotspots, indicating a high concentration of people

Inspiration

We often found it frustrating and confusing trying to guess when a specific place on campus would be busy. This led to us trying to solve that problem by making a product that will help predict these future trends.

What it does

This website gathers data of foot traffic to predict how crowded/populated certain areas will be during specific future times/dates

How we built it

This project was built using Python for API calls, HTML & CSS for front-end website design, and JavaScript for most of the methods used to control the map and most other functionalities with the app. Most of the data used in the project was sourced from a website called besttimes.app, which monitors foot traffic patterns.

Challenges we ran into

Near the end of the project, when it was time to deploy, we ran into errors with CORS, which prevented our JavaScript functions from fetching data from the many JSON files that we had constructed with the APIs. CORS blocked us from fetching data from those JSON files on any browser, and ultimately meant that we had to settle for a static version of our website for this presentation (we did not have the time to set up a server).

What we learned

We learned ALOT about Google's Map API. Their API gives creators alot of flexibility and creativity with what they'd want to create.

Built With

• css3
• html5
• javascript
• node.js
• python