MLMaterial

From Manufacture to Household Practice

As a student in MA Material Futures, I aim to find out an organized  approach to learn from previous projects in making materials. In order to make a database, I created a dataset based on the ingredients, flexibility, usages and keywords. Like a recommendation engine, it suggested the top 5 most related recipes according to the chosen usage.

In this development stage, this project aims to generate new combination of ingredient, which is driven by machine learning (test and train), according to the user's input.

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