Background
I love exploring design and craft in all forms, experimenting with different styles and finding ways to make them my own. I enjoy creating looks from what I already have, staying true to my taste while keeping time and budget in mind. Sometimes it works, sometimes it doesn’t, and I end up spending way too much time figuring out why. 😫
Defining The Problem
In 2020, I created a short survey and reached out to a diverse group of individuals to broaden the insights. You can find the survey questions at this link: STYLEBIT
For 75.8% of participants, the style of their clothes is important.
76% of participants are struggling to find their desired style to wear.
More than 60% of them use “trying several combinations to find the best look” as a solution.
Near 90% of the participants get inspirations around their style from social media or shopping centers.
And the chart below shows how they would like to spend their time for shopping their favorite clothes:
Their responses revealed two main trends:
Participants who have a specific idea in mind and require additional time to search among different stores to find the desired clothing items.
Participants who are not actively seeking a particular item at the moment but are interested in gathering inspiration for future shopping trips. They enjoy exploring stores and discovering new styles to spark their creativity.
My Solution
StyleBit is a smart style assistant that utilizes your existing wardrobe to generate personalized looks for various occasions. It empowers users to effortlessly curate their own unique style every day.
💸 Save your $$$$
⏱️ Save your Time
🧥 Manage your Style
💃 Have fun
StyleBit AI feature enables users to seamlessly organize their wardrobe by categorizing uploaded clothing photos based on parameters such as type, color, material, and size. The feature then intelligently suggests or generates outfit combinations using this data, offering personalized style recommendations every time.
When users are browsing clothing items online, they can activate the online mode within the app. This feature enables users to bookmark the pieces they like and then receive tailored recommendations on how those items can be incorporated into their existing wardrobe. StyleBit analyzes the user's inventory and suggests the best matches and quantities to create versatile and cohesive outfits.
I have developed responsive click-through prototypes using Claude, Figma Make, Google Stitch, Lovable & Replit while experimenting with the combination of AI and design tools and exploring what they have to offer.
