This project uses machine learning to predict the skills and tools needed to make Ratatouille based on an ingredient list.
I was interested in a situation where a collection of input variables were known and I needed to predict what outputs would be needed. For example, in preparing a room for a medical procedure, it would be useful to know what tools and pharmaceutical to have on hand for the procedure.
The situation also maps to the kitchen: given a collection of ingredients, what skills and tools will be needed to make a recipe?
I gathered a dozen Ratatouille recipes from various sources and used them as a template for generating variations. The R script that generates the recipe variations is here.
Once I had the recipe variations, I developed an algorithm that goes through the recipe, learns the patterns associated with each skill, then predicts the skills needed for a testing set of the data. There are two variations of this algorithm:
The algorithm was developed using this set of test data