Build a plant-based recipe from whatever's in-front of you, in the fridge, supermarket, or in-season, locally.... with Plant Jammer's AI algorithm from machine learning on millions of recipes.
What do you mean by AI?
1) We found 2.5 mn. recipes online
2) Then we built a neural network of the individual ingredients in the recipes. Each recipe is essentially a vote on a set of ingredients going together. This creates a 'landscape of flavor', where ingredients that tend to go well together are close to each other;
3) Then we extrapolated the findings from the neural network, by making a regression model of the individual aromas in each ingredient (e.g., there's 346 aromatic compounds in asparagus, that creates you flavor experience of those)... this step leads to unusual food-pairs, so we don't just get boring classics.
4) Finally, we added 'human intelligence' by talking to professional chefs and tagging each ingredients with the core components of good flavor (salt, umami, sour, oil, crunch, soft, sweet, bitter, spicy, fresh, and aromatic) and guiding the neural network to propose something from each of these components
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