Forage: Optimizing Food Use With Machine Learning Generated Recipes
نویسنده
چکیده
Food waste is a major issue in the United States. For an American family of four, the average value of discarded produce alone is nearly $1,600 annually (EPA, 2015). Our project, Forage, is a machine learning algorithm that considers what you have in the fridge or pantry, to generate an innovative recipe that utilizes those available ingredients. Specifically, Forage takes in a string of available ingredients words separated by comma, converts them to a vector representation and uses a recurrent neural network to generate a full recipe including instructions, the category and the title. Our goal would be for Forage to help minimize food waste while helping to create your next delicious, never seen before meal.
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