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StyleScan

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👗 StyleScan - Advanced Fashion Image Classification App

Welcome to StyleScan, an innovative app designed for accurately classifying fashion items using advanced machine learning models.

🌟 Features

  • Multi-Model Fashion Classification: Recognizes various fashion items, including shirts, shoes, bags, and more! 👚👟👜
  • Interactive & Intuitive UI: Modern, sleek user interface designed for easy navigation and enhanced user experience, with a dark theme option and custom animations.
  • Real-time Predictions: Upload your fashion image and get instant predictions with confidence scores.
  • Model Comparison: Evaluate performance through accuracy metrics and confidence levels for each prediction.
  • Advanced Technology: Utilizing cutting-edge algorithms for high accuracy in fashion item classification.

🔥 Live Demo

  • Check out the live demo on : Open in Streamlit

🖼️ Preview

StyleScan Screenshot StyleScan Screenshot StyleScan Screenshot StyleScan Screenshot


🚀 How to Use StyleScan

  1. Clone the Repository:

    git clone https://github.com/Hunterdii/AI-Nexus.git
  2. Navigate to StyleScan App Directory:

    cd AI-Nexus/StyleScan
  3. Install the Required Dependencies:

    pip install -r requirements.txt
  4. Run the StyleScan Streamlit App:

    streamlit run fashion.py
  5. Open the App: Open your browser and go to http://localhost:8501 to use the StyleScan app.


🎨 Customization

You can personalize the app by modifying the CSS for styling, enhancing the UI, or updating the model. The repository includes well-documented code for easy navigation and customization.

📦 Model in the App

StyleScan

  • Recognizes: Fashion items including shirts, trousers, coats, sandals, and more.
  • Versatile: Ideal for fashion classification tasks in retail, e-commerce, or personal styling applications.

📈 Future Enhancements

  • Adding more sophisticated fashion classification models.
  • Deploying StyleScan live for broader accessibility.
  • Implementing additional UI improvements and advanced animations.