UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 7
July-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2307870


Registration ID:
522027

Page Number

i498-i505

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Title

LIVE WEBPAGE GENERATION FROM WIREFRAM USING DEEP LEARNING

Abstract

A beginning phase of creating applications for users is making a wireframe to design the connection point. A wireframe had been made it is given to the programmer to carry out code. Creating boiler plate standard UI code is tedious works yet at the same time requires an experienced. Designer. Wireframes are visual portrayals of UIs, representation of any visual plan or marking components. UI (UI) and client experience (UX) designers them in the beginning phases of client confronting application improvement to frame the page design and convey what things it should to have. While trying to reduce the effect of web design on the general process of web development, new research headings have been examined that tackle the believability of UI developer to convey a more exact and tangible item in a more shorter time.One of a most encouraging methodologies is to computerize this interaction by utilizing AI. To accomplish this top notch results, we really want an adequately enormous dataset with many examples. On a given information bitmap distinguishes UI components like pictures, texts, holders, and records, by means of PC vision and optical person acknowledgment (OCR) strategies. In this approach we uses the image captioning model to detect and extract text and image format fromthe given input images. It could be used in several scenarios like prototype designs, mock up designs. Therefore, our contribution will hopefully impact the future of UI design in general, and websites inparticular.

Key Words

Wireframes. Webpage generation, Deep Learning, Web Mining. Synthetic Datasets.

Cite This Article

"LIVE WEBPAGE GENERATION FROM WIREFRAM USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.i498-i505, July-2023, Available :http://www.jetir.org/papers/JETIR2307870.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"LIVE WEBPAGE GENERATION FROM WIREFRAM USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppi498-i505, July-2023, Available at : http://www.jetir.org/papers/JETIR2307870.pdf

Publication Details

Published Paper ID: JETIR2307870
Registration ID: 522027
Published In: Volume 10 | Issue 7 | Year July-2023
DOI (Digital Object Identifier):
Page No: i498-i505
Country: Mysuru, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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