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Smart Theming Engine (ChromaShift)

Smart Theming Engine (ChromaShift) is an AI-powered tool that analyzes visual elements to generate beautiful, accessible UI themes. By extracting color palettes and intelligently calculating symmetry, it helps designers and developers create responsive, harmonious themes for modern web applications.


🚀 Features

  • AI-Driven Theme Generation: Analyze images or UI elements to auto-generate color palettes and themes.
  • Palette Extraction: Identify primary, secondary, and accent colors from screenshots or images.
  • Accessibility: Smart contrast checking to ensure generated themes are accessible.
  • Responsive Design: Create themes that work on desktop and mobile.
  • Export Options: Download generated themes as CSS variables or JSON.
  • Simple Web Interface: Built with Streamlit for instant, interactive theme previewing.

🛠️ Tech Stack

  • Backend: Python (color analysis, core logic)
  • Frontend: Streamlit (interactive web UI)
  • Other: HTML, CSS, JavaScript (as needed for exports)
  • Image Processing: Python imaging libraries (e.g., PIL, OpenCV)

📦 Installation

  1. Clone the Repository

    git clone https://github.com/Chidi09/smart-theming-engine.git
    cd smart-theming-engine
  2. Install Dependencies

    python -m venv venv
    source venv/bin/activate  # On Windows: venv\Scripts\activate
    pip install -r requirements.txt
  3. Run the Application

    streamlit run app.py
  4. Open Your Browser

    • Visit http://localhost:8501 (Streamlit’s default) or the displayed URL.

⚡ Usage

  • Upload an image or screenshot of your UI/website.
  • The app will extract dominant colors and generate a suggested theme.
  • Adjust and preview the theme live.
  • Export theme variables for use in your own project.

🤝 Contributing

Contributions are welcome! Please fork the repository and submit a pull request, or open an issue for suggestions and bugs.


📄 License

MIT License


📫 Contact


Built with ❤️ to make beautiful, accessible theming easy for everyone.


Let me know if you’d like to add screenshots or API examples!

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