Inspiration

As college students ourselves, we often do not have time to cook the most nutritious meals. We either starve ourselves or go for an unhealthy fast food option. We realize that it is impossible to get rid of fast foods altogether in our lifestyle, but why not make healthier choices? And just like that, munch was born.

What it does

The munch app allows users to find food items in their general vicinity that best aligns with their health goals. Based off the user's location, and dietary restrictions, the app looks through its firebase database and recommends the best meal for the user. To create a loyal customer base, we created a rewards program that allows users to spin for a coupon to save some money on future purchases.

How we built it

We queried basic nutritional information for the menu items of the restaurants that are found in Atlanta. We then sent this information to a firebase, which we then displayed to the user using a swift UI app.

Challenges we ran into

Our API of choice only allowed us to call an API 50 times before we had to grab a new key, so we had to get creative and generate a set of API keys and app ids to get the information for our menu items. Unfortunately, we were not able to finish the functional aspect of the program as much as we wanted to, and we were just a couple of hours short of finishing the UI.

Accomplishments that we're proud of

We are proud of how aesthetically pleasing our user interface looks. The user interface uses graphics that are simple, clean, and easy to understand with a glance.

What we learned

We have never worked with APIs in great detail before, and learning to interact with the nutritionix API was a great teaching moment. We also learned how to work with the firebase architecture and how useful cloud-based servers truly are.

What's next for munch

We are planning on developing and finishing this app after the hackathon, adding more dimensions that a user can search using. One ambitious goal that we have is to be able to simplify the user interface into a search bar that accepts a couple of sentences that outlines what sort of food the user is looking for.

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