Toned: Computer Vision Color Analysis

This project is a web-based application that leverages computer vision to provide personalized Korean color analysis. Users can capture or upload a photo, which is then analyzed to extract facial features and skin tone details. Based on this analysis, the app generates tailored color and design recommendations inspired by Korean aesthetics. Built with a TypeScript-based stack using React for the frontend and Node.js for the backend, the application is designed to offer a seamless experience on both web and mobile platforms.

Overview

• Developed a web and mobile-ready application that delivers personalized Korean color analysis using cutting-edge computer vision. You don't need to pay thousands to get it done in Korea, do it in seconds here!
• Users can capture or upload photos to analyze facial features and skin tone, receiving tailored color palettes and design recommendations.
• The solution is built with a TypeScript-centric stack: React on the frontend and Node.js/Express.js on the backend.
• Focused on creating a seamless, end-to-end experience that bridges advanced AI technology with intuitive design.

Key Contributions

Advanced Computer Vision Integration

• Developed a streamlined process for image capture, upload, and analysis to extract facial features and skin tone.
• Leveraged TensorFlow.js and other computer vision libraries to execute in-browser analysis, enabling real-time feedback.
• Engineered algorithms that map facial analysis to personalized color and design recommendations rooted in Korean aesthetics.

Robust Full-Stack Development

• Created a responsive, intuitive frontend using React with TypeScript that caters to both web and mobile users.
• Built a scalable backend with Node.js/Express.js to handle file uploads, image processing, and data management.
• Utilized cloud services (such as AWS) and containerization with Docker to ensure seamless deployment and scalability.

Cross-Platform Optimization

• Designed the application to be mobile-friendly, either as a Progressive Web App (PWA) or through React Native for native mobile support.
• Optimized performance across different devices, ensuring consistent user experience regardless of platform.

Impact

• Instead of traveling across the world to get your color analysis in South Korea, do it here online!
• Empowers users with bespoke fashion and design insights tailored to their unique skin tones and features.
• Bridges the gap between advanced computer vision and personal style, offering a fresh perspective in digital beauty and fashion tools.
• Sets the stage for future innovation at the intersection of AI, computer vision, and personalized design.