| Issue |
E3S Web Conf.
Volume 491, 2024
International Conference on Environmental Development Using Computer Science (ICECS’24)
|
|
|---|---|---|
| Article Number | 04011 | |
| Number of page(s) | 9 | |
| Section | Engineering for Environment Development Applications | |
| DOI | https://doi.org/10.1051/e3sconf/202449104011 | |
| Published online | 21 February 2024 | |
Sketch and algorithm to web translation using faster RCNN and NLP
1 Department of Information Technology, Hindustan Institute of Technology and Science, Chennai, India.
2 Department of Information Technology, Hindustan Institute of Technology and Science, Chennai, India.
3 Department of Information Technology, Hindustan Institute of Technology and Science, Chennai, India.
4 Department of Information Technology, Hindustan Institute of Technology and Science, Chennai, India.
* Corresponding author: csharmila@hindustanuniv.ac.in
User important role of software is development. Creating an innovative and enhanced user experience is a key goal for IT businesses of all sizes and it is an interaction driven by quick prototyping, design and user testing cycles. It requires a lot of cash and exertion just to fabricate a creation grade site. The understanding objective is to utilize present day profound learning calculations essentially improve on the plan work process and empower any business to make site rapidly. The proposed deep learning model converts drawn image into Html code using faster RCNN and algorithm to JS code conversion using NLP. The proposed ml learning project comprises of a Regional convolutional neural network which helps in building a complete website corresponding to the user's sketch, including functionality of the sketch.
© The Authors, published by EDP Sciences, 2024
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