Inspiration
According to the EPA, in 2018 alone, 103 million tons of food waste was generated. We were inspired to do our part to solve this prevalent and rapidly growing problem.
What it does
Our project suggests recipes based on the ingredients that the user has. The list of recipes contains an image, calorie count, recipe name, and external link to recipe for each suggestion.
How we built it
We used expo to build an application that compiles to native code to run anywhere. We run Clarifai's Food Recognition model to label ingredients within an image and Edamam's Recipe Search API to find recipes corresponding to the ingredients found in image or entered by user.
Challenges we ran into
- Accuracy of Clarifai's Food Recognition model
- Add ability for user to make corrections to our generated list of ingredients
What's next for Leftovers
- We want to increase the accuracy of the ingredients image detection.
- We hope to allow users to capture an image of their fridge and detect all ingredients within view.
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