Welcome to StyleScan, an innovative app designed for accurately classifying fashion items using advanced machine learning models.
- 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.
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Clone the Repository:
git clone https://github.com/Hunterdii/AI-Nexus.git
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Navigate to StyleScan App Directory:
cd AI-Nexus/StyleScan
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Install the Required Dependencies:
pip install -r requirements.txt
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Run the StyleScan Streamlit App:
streamlit run fashion.py
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Open the App: Open your browser and go to
http://localhost:8501
to use the StyleScan app.
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.
- Recognizes: Fashion items including shirts, trousers, coats, sandals, and more.
- Versatile: Ideal for fashion classification tasks in retail, e-commerce, or personal styling applications.
- Adding more sophisticated fashion classification models.
- Deploying StyleScan live for broader accessibility.
- Implementing additional UI improvements and advanced animations.