Neural Style Transfer 🎨🧠

This project is part of the Prodigy InfoTech internship. It implements Neural Style Transfer using TensorFlow Hub on Google Colab.

📌 What is Neural Style Transfer?

NST is a technique that takes two images — a content image and a style image — and blends them together so that the output image looks like the content image painted in the style of the style image.

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🧪 Experiments

✨ Style: Starry Night | Content: City Skyline

🌊 Style: The Great Wave | Content: Mt. Fuji

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🛠 Tools & Libraries

• Python
• TensorFlow
• TensorFlow Hub
• Google Colab
• PIL
• NumPy

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📁 Files

File	Description
colab_notebook.ipynb	Google Colab notebook with code
content.jpg / style.jpg	Images used
stylized_output.jpg	Result after style transfer

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🤝 Credits

Internship project under Prodigy InfoTech
Coded & debugged by: Dharmit Shah