StylePulse

Various features
UI and features

Inspiration

We have always wanted to easily find clothing and styling advice without having to always ask other people for help deciding styles or outfits

What it does

This app uses OpenAI vision to analyzes images of clothes provided by the user and provide three different fashion recommendations. Colors that go with the clothes, styles of particular clothing that complement the image provided by the user, and then complete outfit recommendations

How we built it

We used React Native to build the UI of the application. OpenAI's Vision API was used to analyze and understand the image provided and then get clothing recommendations. After, we employed Google Custom Search to retrieve public images of the clothes recommended.

Challenges we ran into

Some of our challenges included setting up the Vision API for our needs and then knowing how to tune our responses through accurate prompts. Additionally, all 3 of us lived in different time zones therefore it was difficult to communicate at times.

Accomplishments that we're proud of

Using Artificial Intelligence and Computer Vision tools to solve a real-world problem and implementing it on a mobile device

What we learned

We learned how to use various AI-based APIs and use React Native to craft a simple user experience on mobile platforms.

What's next for StylePulse

Include more personalization options to build more optimized recommendations and enable users to quickly get new recommendations.
Retrieve clothing picture that have link to online shops where the clothing can be purchased.