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- Hissah Alkhalaf
- Mahith Edula
- Nathan Maher
- Shashank Shekhar
- Daniel Zellmer
StyleLabz is a mobile application designed to deliver personalized stylistic recommendations to customers. This is done by utilizing the swiping mechanic found in many mobile dating apps to give customers a quick and easy way to show which clothes they prefer and which clothes they would rather not wear.
- Buying vs. Wearing Clothes
- Clothing sales up ~60% since 2000
- Clothes are only worn ~7 times before discarded
- US customers ignore up to 80% of their wardrobe
- Current Solution - Fast Fashion
- Emphasizes cheap materials
- Not sustainably sourced
- Promotes disposable clothing
- Recommendation Engine for Clothing Articles and Outfits
- Swipe-based Clothing Selection
- Same mechanism as Tinder etc.
- Initiated by entry survey for general preferences
- Supplement Personal Preferences with Trend Data
- Brand Partnerships for Additional Options
- Mobile App
- Written using JavaScript + React Native
- UI Toolkits - RNUI + React Native UI Kitten
- Express Backend
- Service frontend requests
- Link to ElasticSearch index
- “AI” Recommendation Engine
- Clothing attributes stored in ElasticSearch index
- Recommendations based on highest-scoring attributes