SOURCE-LINKED INTELLIGENCE

Innovative IT tools for a circular textile economy: driving sustainability and resource efficiency.

CORDIS · observation · Publication date unknown

ving sustainability and resource efficiency. The AIdesignTEX project aims to enhance the research profile of Łódź University of Technology (TUL) FMTTD in sustainable textile production by leveraging artificial intelligence and machine learning tools to develop easily recyclable or biodegradable textiles. Through networking and partnership activities with EU counterparts, such as Stavanger University (UiS), Ghent University (GU), and the Catholic University of Avila (UCAV), TUL researchers seek to expand their knowledge of the circular economy principles and their application to textile production. The project aligns with the goals of the European Green Deal, which aims to promote a circular economy and reduce waste. The textile industry is a major contributor to environmental pollution, with large amounts of water consumption, CO2 emissions, and waste production. By implementing AI and ML tools, the project seeks to help textile producers adopt sustainable practices, save resources, and minimize environmental impact. During long-term visits and complementary activities with the adva

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recordType

award

status

SIGNED

region

EU

value

1498183.75

unit

EUR