HTML-MATIC: MACHINE LEARNING BASED GENERATION OF HTML CODE

Abstract

Making mock-ups for individual web pages, either by hand or using graphic design and special mock-up tools, is the first step in the website design cycle. The software developer then converts the mockup into structured HTML or equivalent markup code. Typically, this procedure is continued until the required template is created. The aim of this research is to automate the process of creating code from a mock-up created manually. The suggested system is implemented using deep learning methods after the html mock-up is analysed using computer vision techniques. Our system has a method accuracy of 96 percent and a validation accuracy of 73 percent.