THE GREENWASHING SCORE: AN ALGORITHM IMPLEMENTED WITH CLASSIFICATION AND CLUSTERING TECHNIQUES OF MACHINE LEARNING

This work introduces the development of an algorithm to rate the level of greenwashing in products, in relation with the Erasmus internship experience in Barcelona. It's provided an opening framework on Classification and Clustering in Machine Learning. The chapters provides an overview of Machine Learning, analysis of Classification and Clustering methods, and an Index of Greenwashing as a verification tool. The aim is for this index to evaluate misleading environmental claims using the example of the fashion industry, highlighting the outcomes derived from Classification and Clustering methods. Lastly is presented the index's creation, as well as the potential applications.