Recipe Selector

Inspiration

We were inspired to create this project from hearing about food insecurity and food deserts in minority communities.

What it does

This project queries the user for a type of food they want to eat, and the amount of time they want to cook for, and pulls from the Yummly API to find recipes that match their criterion.

How we built it

We programmed this project in Python, and used RapidAPI to make calls to Yummly.

Challenges we ran into

This was our first Hackathon, and we did not have much experience making calls to an API and interpreting the data it sent, so that gave us some trouble. It also took us a long time to find an API that actually worked, and we were a bit pressed for time since we were both virtual and had other commitments this weekend that we had to work on as well.

Accomplishments that we're proud of

We're proud that we participated in our first hackathon, and that we we able to make API calls which is something that neither of us were super experienced with when we started.

What we learned

We learned how to make calls to an API and then extract certain bits of data out of what the API sends back.

What's next for Recipe Selector

We'd like to potentially add more search queries into our API call. It would also be useful to add a function to locate the grocery store nearest to the user so they know where to get their ingredients.

Built With

• python
• rapidapi