GENERATING IMAGES INTO HTML CODE USING DEEP LEARNING

Maunta GAUTAM
2020
BSc.CSIT
Semester 7
Downloads 6

Quicker prototyping and designing process enables a better and faster development process with more time to explore for better user interface experience. The project aims to simplify the design workflow of business and entitle them to quickly create webpages. The project has been built for the prediction and generation of computer codes in response to a Graphical User Interface screenshot as an input. For the system to identify the different entities on the input, approaches of deep learning; Convolution Neural Network, and Recurrent Neural Network are used. Further to transform the identified entities, both of the deep learning techniques are leveraged to generate the desired computer code for the generation of the webpages. On providing an input to the system, users experience the generation of automated computer code for the webpage they want to create. The system can also be an effective tool for developers for focusing more on additional engineered features and lessen the burden of manually programming the user interface.

picture to code
Deep Learning
Convolution Neural Network
long short-term memory

Similar Projects