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This project allows the use of machine learning to predict the ingredients of a recipe. In particular, it has been implemented on a poke recipe in which a series of ingredients (i.e. 8) are passed as input and the software returns 2 missing (for example the topping and the sauce). The model used is Multi Target Forest and Scikit Learn ML library
Eine Webapp zum Finden von Rezepten, die mit vorhandenen Zutaten zubereitet werden können. Basierend auf einer Datenbasis von 10k Rezepten von Chefkoch.de werden Rezepte in <0.5s returned.