onFeet is a styling application designed to help users visualize how shoes look with various types of pants and shorts. By integrating sneaker data from STOCKX and utilizing a sleek, user-friendly interface, onFeet aims to enhance the sneaker shopping experience.
- Next.js: For server-side rendering
- Bootstrap: To ensure a responsive and modern UI.
- Modified Sneaks API: Fetches sneaker information and popularity metrics from STOCKX.
- MongoDB: Used for sneaker database management.
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Bootstrap Landing Page:
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Search/Explore Page:
- Search functionality with dropdown suggestions based on user input.
- Links to a detailed
Sneaker
styling page for each product.
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Sneaker Page:
- Displays detailed sneaker information including make, name, average retail price, release date, and external purchase links.
- Interactive styling options to choose between shorts or pants, and adjust colors in real-time using a color picker.
- Hosted on Vercel for seamless deployment and performance.
- Will be on onFeet.com
- User account management via Firebase for saving favorite shoes and styles.
- Integration of AI to suggest styles based on shoe colorways.
- Potential features like Google Lens integration for visual shoe searches.
- Clone the repository:
git clone https://github.com/david-dozer/onfeet-next.git