This project uses daily plastic items from our household through machine learning methods to predict the unseen process of decomposition of plastic.
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Currently we are unable to see the process of the decomposing plastics which may take up for five hundred years or longer. I choose the machine learning methods to make this process visible.  I want to use this method in order to generate forms of the plastics that synthesize the process of decomposing, and to raise attention on the current plastic issues. 

I started with by photographing a variety of plastic objects in order to get enough training items to improve the results of the process.

Using Runwayml as the machine learning tool, I implement three rounds of the training process. After each round I increased the numbers of the steps to get more distinctive forms,

I selected the results that distinctively resemble plastic with the models generated by Runway.

The results is an installation for the plastic project revealing information and facts for each plastic objects.