Trendy Thrifts

An application that helps consumers reduce fast fashion purchasing habits, Trendy Thrifts is a trend forecasting app that provides easily purchasable alternatives available at thrift stores.

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Inspiration

As young adults trying to keep up with rampant celebrity culture, catwalk trends, and high-fashion designs on a budget, it can become difficult to not participate in fast fashion, even when knowing that it is a highly exploitative business model that is extremely detrimental to the environment. We wanted to design a solution that would allow consumers to buy and wear trendy clothes while abandoning fast-fashion companies.

What it does

Our app has 3 main functions. The first is a machine learning algorithm that predicts trend-cycles and how long certain items of clothing will be on trend. The second allows users to upload items from thrift stores that they believe are trendy. They provide a description of the clothing item along with a picture and the app will automatically predict its lifetime as a trend. The third allows users to search for these trendy items in thrift stores near them using clothing article filters.

How we built it

We built the prototype of the app on Figma.

Challenges we ran into

The most difficult part of our project was finding dataset to analyze that would allow us to predict trend cycles.

Built With

  • figma
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