Inspiration
Messy closets in real life turned into an ordered and structured digital wardrobe.
What it does
Removes noise from images, stores the cleaned images in browser cache, allows photo manipulation, and categorization of photographs.
How we built it
Using Python Flask and the rembg API, we cleaned background noise from images, and then stored said images in browser cache.
Challenges we ran into
Integrating a third party library into a web service while also storing and visualizing the result of the GitHub library calls.
Accomplishments that we're proud of
Successfully utilizing an open-sourced library in order to present a more visually appealing product to users.
What we learned
GitHub version control and collaboration techniques as well as Flask implementation for web design.
What's next for Threaded
Migrating user data to a database server and hosting the service on a cloud server. Future features may include GenAI recommendation of clothing articles missing in user's current wardrobe and simple buy-here buttons on the web service.

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