Groche is a lightweight grocery/recipe matching project built with:

• a Flask backend API
• a static HTML frontend
• a barcode scanning utility for generating ingredient data

Groche helps you:

• store recipes with ingredient lists
• match a grocery cart against saved recipes
• identify missing and extra items
• scan images of barcodes and build a virtual cart

• app.py - Flask server providing recipe storage and matching API
• index.html - frontend UI for adding recipes, viewing recipes, and match results
• barcodes/barcode.py - barcode scanning utility that processes images and outputs cart data
• data/recipes.json - stored recipe database used by the backend
• data/ingredients.json - output target for barcode scan results
• images/ - sample barcode image inputs for barcode.py

• GET /recipes - returns saved recipes
• POST /recipes/add - add a new recipe with ingredients
• POST /recipes/delete - delete a recipe by name
• GET /match - match the current cart against recipes

• add recipe name + ingredients
• view saved recipes
• delete recipes
• display matched recipes, missing ingredients, and extras
• periodic refresh every 2 seconds

• processes still images from barcodes/images
• supports .jpg, .jpeg, and .png
• detects barcodes using zxingcpp and OpenCV
• resolves product names using Open Food Facts
• writes data/ingredients.json

• Python 3
• Flask
• Flask-CORS

• Python 3
• OpenCV (cv2)
• NumPy
• requests
• zxingcpp

From project root:

python app.py