Schedule Eatz

Home page of Schedule Eats

Inspiration

As college students, we bear a lot more respon

What it does

Recommends the best times to go and pick up food based on a student's schedule. We wanted to ensure that each student gets at least 3 meals a day. There is also a calorie-tracking feature to see if the user is eating healthy or not.

How we built it

We used a Google Maps API through APIfy to locate all the dining halls and when they were the busiest. We then modified and cleaned the data with the Pandas and Numpy libraries to export a dataset to Maven.

Challenges we ran into

The biggest challenge we ran into was properly extracting data for the dining halls. At first, we wanted to scrape data from GrubHub, but we weren't able to access the campus version of the app. From there, we used a Google Maps API called APIfy to get information about when the restaurants were busiest.