ChefiFy

Inspiration

We wanted to empower consumers to eliminate food waste, a major problem in developed countries, in their own lives.

What it does

The integrated camera takes a snapshot of a fridge/pantry and we use image processing (FoodVisorAPI) to identify the items in the picture. Then, using a database of available recipes, the app provides a list of meals that could be prepared with the ingredients seen. The user can try out the recipes, mark favorites, and see just how much waste they've mitigated.

How we built it

We used React and CSS for our website frontend. For the backend logic, we used Python, GPT-4, and FoodVisorAPI. The physical components are controlled by an Arduino UNO that can turn on the lights in the fridge and take a picture using an installed camera.

Challenges we ran into

The thunderstorms made us really sleepy due to the rain and made it difficult to drive back home.

Accomplishments that we're proud of

We were able to incorporate both hardware and AI in our project to cover two challenge statements without interfering with each other.

What we learned

React and automating serial requests

What's next for ChefiFy

We're thinking of setting up a discussion board where users can interact with each other by sharing their recipes. These recipes will then be automatically uploaded to the recipe database for all users to explore and to allow our database to constantly expand.