This is a Next.js project bootstrapped with create-next-app.

This project was a submission to a hackathon, "SASEHacks", created for the purpose of fostering the community to reduce food waste. It is designed as a food tracker, where users can add foods to their pantry, refrigerator, or freezer. From there, a ML model, trained on a database of expiration dates from the FSIS, would predict when these foods would expire. Then, when food items are close to expiring, a user would be alerted and can generate recipes using those items with our recipe generator backed by OpenAI's ChatGPT.

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser, and set the view to a mobile phone for the best result. At this time, our website does not support a full desktop experience.

Next, run the backend server, this will require three things:

1. Have a python environment with all the necessary packages installed.
2. Have a firebase account with firebase credentials in a services/firebase.js file.
3. Have the necessary API tokens for HuggingFace and OpenAI.

Then:

cd model-sasehack
python server.py