#pix2code

Explore a detailed guide on converting design mockups to HTML/CSS with deep learning. From 'Hello World' to advanced models, learn about the Bootstrap version's 97% accuracy with domain-specific tokens and GRU layers. Discover insights from pix2code, Airbnb sketches, and Harvard's im2markup, suited for integrating AI into design workflows on platforms like FloydHub and locally through Jupyter Notebook.

This research investigates the potential of deep learning to automatically convert graphical user interface (GUI) screenshots into functional code for iOS, Android, and web platforms. With over 77% accuracy, this experimental project highlights the role of machine intelligence in streamlining software development processes. While it may not be suitable for real-world production, the project encourages innovation by providing source code and datasets for educational purposes and explores implications for designer-developer collaboration and automating repetitive coding tasks.