Leftovers to Recipe

Inspiration

The restaurant industry produces 22-33 billion pounds of annual food waste in the US alone. Reducing this number will have substantial sustainability impacts. We initially were focusing on making recipes based on the contents of an individual's fridge but decided to shift the focus to the problem of restaurant waste to avoid similarity to other projects.

What it does

Leftovers to Recipe uses the Spoonacular API to allow the user to search for recipes based on the leftover ingredients they have.

How we built it

We used Spoonacular API, which is a recipe database that allows users to search for recipes based on ingredients. Our backend uses the django framework. This connects to our frontend website, which uses html.

Challenges we ran into

Getting the Spoonacular database to connect to the project. The code was complicated and time consuming to implement.

Accomplishments that we're proud of

Getting the Spoonacular database to connect to the project.

What we learned

Everyone advanced their skills in python and/or html.

What's next for Leftovers to Recipe

Next steps include implementing a weight category for the recipes, so that the user would input how much leftover food they have in weight, and the program would tell them how many servings they could make with that weight. We would also show more info about each recipe on the website, and add links to the external website for each recipe that contains the recipe. We would also add a feature to allow the user to filter by cuisine so that restaurants can find recipes that would fit their menu.