Inspiration
Especially during the pandemic, many individuals have trouble finding their personal style or even knowing where to start. Not all individuals are able or comfortable visiting Artizia boutiques in-person and there is a need to increase accessibility. StyleBuddy is a personal assistant that aims to bring Aritzia’s in-person personal shopping appointments online.
What it does
StyleBuddy allows individuals to find Aritzia clothing items to cultivate their personal style by filtering through different personalization categories.
How we built it
Figma, HTML, CSS, Python
Challenges we ran into
- Implementing ML pipeline to create a recommendation system
- Connecting Bootstrap to React, Getting Python to connect to React
Accomplishments that we're proud of
Having a solid UI/UX design that is simple that serves a sophisticated purpose catered to various users
What we learned
Kickstarting Machine Learning integration on web app using PIP and PyCaret
What's next for StyleBuddy
- Linking the sorting system and back-end with the front-end
- Creating a recommendation system with more personalization features.
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