A mobile app that utilizes OCR to inform the user about the water footprint and veg-friendliness of a food item.

Mohit Bhole: Frontend (food4u), Backend server (app.py), Backend functions to collect and analyse data (getWaterFootPrint.py)

Charles Jackson: OCR (proces.py)

Sarina Mak: Backend functions (getWaterFoorPrint.py prototype), Data collection and organization (json files)

Arami: Setting up backend server, Backend functions (getWaterFoorPrint.py prototype), Data collection and organization (json files)

Have you thought about where your food comes from? We created a mobile app that promotes conscious eating by using Optical Character Recognition (OCR) to scan ingredient lists.

We focused on water footprint data of each food item and then utilized a comprehensive list of vegetarian and vegan friendly foods/chemicals to determine if the overall food product is veg or vegan friendly.

1. Download the app ( not available currently on the app or play store )
2. Take a clear picture of a list of ingredients OR upload one from your gallery
3. The picture will be sent to our server and will return the overall water footprint, the vegan/vegetarian ingredients, and if it is overall vegetarian, vegan, or neither

Our goal is to inform the user of the environmental impact of their food choices by considering factors such as water usage. Many consumers are not aware of the amount of water it takes to produce their food - e.g. it takes 660 gallons to create a 1/3 lb. beef patty.

We hope to promote conscious, sustainable, compassionate eating by encouraging consumers to think about the impact of each item on both their body and our planet.

Vegetarian Journal's Guide To Food Ingredients. (n.d.). Retrieved from https://www.vrg.org/ingredients/

Mekonnen, M. and Hoekstra, A. A Global Assessment of the Water Footprint of Farm Animal Products, 2012.

Mekonnen, M. and Hoekstra, A. The green, blue and grey water footprint of crops and derived crop products, 2011.