GENERATION OF HTML CODE AUTOMATICALLY USING MOCK-UP IMAGES

GENERATION OF HTML CODE AUTOMATICALLY USING MOCK-UP IMAGES

1 Raksha  K ,   2  Yashodha  P G

[1] Student, Department of Master of Computer Applications, BIET, Davangere

[2] Assistant Professor, Department of MCA, BIET, Davangere

ABSTRACT

The design cycle for a website begins with making mock-ups for individual web pages, either by hand or with graphic design and specialist mock-up generation tools. Software programmers transform the prototype into structured HTML or comparable markup code. This technique is typically repeated multiple times until the desired template is created. Our goal in this study is to automate the process of generating code from hand-drawn mock-ups. Hand-drawn mock-ups are processed using computer vision techniques, and the proposed system is then implemented using deep learning approaches. Our system achieves 96% method and 73% validation accuracy. Index Terms: convolutional neural networks, deep learning, automatic code generation, and HTML.