STC (Sketch To Code)-An Enhanced Html & CSS Autocode Generator from Handwritten Text and Image Using Deep Learning

This paper presents an innovative solution for automating the transformation of hand-drawn sketches into HTML and CSS code. The process unfolds in four distinct phases: Pre-processing optimizes input sketches, Segmentation identifies key regions using Region Proposal Networks (RPN), Feature Extraction employs Line Drawing Prediction (LDP) for detailed interpretation, and Classification categorizes features into HTML and CSS elements. The integrated use of RPN and LDP ensures precise recognition of design elements and layout, streamlining the conversion process. This approach not only enhances accuracy but also enables a seamless transition from creative ideation to web development, reducing the manual effort traditionally associated with coding.