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List of suggested websites based on style chosen
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Style prediction graph
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List of styles across decades and their key styles
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Description of style era and fashion timeline in that decade
Inspiration
We were inspired by the timeless cycle of fashion and how trends from past decades always find their way back into modern style. Whether it’s ’90s streetwear, ’80s bold colors, or ’70s boho patterns, we noticed that people love rediscovering retro looks but don’t always know where to start. We wanted to create an interactive experience that makes fashion history accessible, fun, and personalized.
What it does
Style Scope is an interactive fashion discovery tool that lets users explore and shop styles across the decades from the 1970s all the way to the 2000s. By clicking into any era, users can dive into its iconic looks, key trends, cultural influence, and curated shopping destinations. With built-in machine learning, Style Scope also predicts when retro styles are likely to trend again, blending nostalgia with modern AI personalization.
How we built it
We built this website demo using GitHub to organize our project in a shared repository and collaborate on the same project. We used front-end web development tools like HTML, JSON, TypeScript, and CSS to accomplish the UI/UX of the website to make it interactive and add additional features. We then used an ML database to create the style era trend prediction graph while using VSCode as our text editor and npm run dev to execute the preview of the website.
