🌈 Skin Tone Detector API

This project is an intelligent Skin Tone Detection System powered by AI and Color Science.
It analyzes an uploaded image, detects the average skin tone, and classifies it under predefined tone categories.

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🚀 Features

• Detects dominant skin color from an image (HEX + RGB).
• Classifies tone into 16 or 75 predefined categories.
• Returns matching WooCommerce or eCommerce products.
• Can be integrated into web apps, salons, and virtual try-on systems.
• API-first design — deployable on Vercel.

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🧠 Tech Stack

• Language: Node.js (Express API)
• Deployment: Vercel
• Version Control: GitHub
• File Upload: Multer / FormData
• Color Detection: get-image-colors or colorthief

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📁 Project Structure

skin-tone-detector-sdk/
│
├── package.json
├── README.md
├── .gitignore
├── index.js
├── tones.js
├── example/
│   └── demo.html
└── test/
    └── test.js

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⚙️ Setup Instructions

1. Clone Repository

git clone https://github.com/YOUR_USERNAME/skin-tone-detector.git
cd skin-tone-detector

2. Install Dependencies

npm install

3. Run Locally

npm run dev

4. Deploy to Vercel

• Go to Vercel
• Import this GitHub repo
• Click Deploy

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🧩 API Endpoint

POST /api/detect
Uploads an image and returns detected color + tone.

Example Request

curl -X POST -F "image=@face.jpg" https://yourapp.vercel.app/api/detect

Example Response

{
  "hex": "#CD966B",
  "rgb": [205, 150, 107],
  "tone": "Medium Light",
  "matched_product": "Golden Caramel Foundation"
}

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🔑 Licensing

This project is owned by HighValue Solutions.
For commercial use or integration, contact support@highvaluesolutions.net.

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© 2025 HighValue Solutions. All rights reserved.