CE

Project Info

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Team Members


Alicja

Project Description


Looking at how we can create a circular economy for fashion. Using AI to identify particular textiles in waste streams.


#circular economy

Data Story


There are two parts to the data story. The first is the analysis of the textile industry in Australia data, showing the large amount of waste and non-recycled waste being created every year. This analysis then lead me to build a small app in Azure Cognitive services to prototype image analysis of textiles to allow for identification of different types of textile/ fashion waste. The image analysis tool was able to successfully differentiate between wool and non-wool textiles. This AI could then be deployed in small or large scale environments, leading to an increase ability to find new markets for these recycled goods.


Evidence of Work

Video

Homepage

Team DataSets

Tasmanian waste data

Description of Use To help with analysis of waste in Tasmania

Data Set

National waste reports

Description of Use Used to determine optimal opportunities for waste reduction

Data Set

National Waste Management database

Description of Use Detail on waste management in Australia - review what is going into waste stream and could be circular economy instead

Data Set

Challenge Entries

Hack for a Circular Economy

In order to build a more sustainable community, how might we redesign, rethink, repair and repurpose spaces, places, materials, and digital infrastructure, systems and policies within cities in order to progress social, natural and economic development?

Eligibility: Must use at least one open dataset.

Go to Challenge | 14 teams have entered this challenge.