Automated web development: theme detection and code generation using Mix-NLP

Abstract

A website helps a business to grow by using different marketing strategies. This paper describes a novel approach to develop a website by just providing the text (description of the website) or an image as input. Using Text Input it will suggest template (screenshots) after identifying the theme of the site inferred from the input. Those templates are converted into code for further customizations for their personal use. Current problem was that a web developer will take more than 15 days only to just make the basic structure of a website. This issue is resolved by our work which will generate the complete code of the webpage/ website in less amount of time. In this paper, it will tokenize each word to find their synonyms and then mapped it with root words for the theme identification and uses deep learning model to convert templates into code.