Automatic HTML Code Generation from Mock-up Images Using Machine Learning Techniques

Payal; Sushma JC; Thanmaya C; Sushma D Sarang; Mrs. Vidhya K

Automatic HTML Code Generation from Mock-up Images Using Machine Learning Techniques

Authors: Payal, Sushma JC, Thanmaya C, Sushma D Sarang, Mrs. Vidhya K

Unique Paper ID: 152018
Volume: 8
Issue: 2
PageNo: 204-208

Keywords: Object detection object recognition convolutional neural network deep learning automatic code generation HTML

Abstract:
The design cycle for a website begins with the construction of individual web page mock-ups, which can be done by hand or with the help of graphic design and specialist mock-up production tools. Software programmers next turn the prototype into structured HTML or comparable markup code. This procedure is typically performed several times until the appropriate template is obtained. The goal of this research is to automate the process of creating code from hand-drawn mock-ups. Computer vision techniques are utilized to process hand-drawn mock-ups, and then deep learning approaches are employed to construct the suggested system. Our system has a method accuracy of 96 percent and a validation accuracy of 73 percent.

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Cite This Article

ISSN: 2349-6002
Volume: 8
Issue: 2
PageNo: 204-208

Automatic HTML Code Generation from Mock-up Images Using Machine Learning Techniques

Available:https://ijirt.org/Article?manuscript=152018

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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