UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 12 Issue 6
June-2025
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2506753


Registration ID:
565347

Page Number

h405-h411

Share This Article


Jetir RMS

Title

SKETCHNET: INTEGRATED DEVELOPMENT ENVIRONMENT FOR HAND-DRAWN WEB SKETCH REGCOGNITION AND CODE GENERATION

Abstract

An Integrated Development Environment (IDE) is a comprehensive tool that provides developers with essential features for software development, such as code editing, debugging, and execution. This project introduces an innovative IDE designed to efficiently convert hand-drawn sketches into functional web code. Transforming hand-drawn sketches into executable HTML code is challenging due to the variability in artistic styles and stroke patterns, along with the traditional separation between design and implementation. To address these issues, this project presents an IDE that utilizes advanced deep learning techniques to streamline the transition from sketches to code. The IDE incorporates the SketchNet Model, a Convolutional Neural Network (CNN) specifically designed to recognize and interpret web elements from hand-drawn sketches. To further enhance accuracy and efficiency, the SWIN Transformer is integrated, a transformer-based architecture known for its ability to capture long-range dependencies in images. This IDE provides a user-friendly platform where designers can sketch web elements directly. The SketchNet Model processes these sketches, and the SWIN Transformer ensures real-time detection accuracy. The system then generates the corresponding HTML code, which is executed within the IDE, allowing designers to instantly view their web interface. By bridging the gap between hand-drawn designs and functional web development, this IDE offers an intuitive and interactive environment, empowering designers with a direct link between their creative concepts and executable code, thus optimizing and streamlining the web development process.

Key Words

Integrated Development Environment (IDE), Hand-drawn Sketches, HTML Code Generation, SketchNet Model, Convolutional Neural Network (CNN), SWIN Transformer, Web Code Execution, Real-time Detection, Deep Learning Techniques, Sketch-to-Code Conversion

Cite This Article

"SKETCHNET: INTEGRATED DEVELOPMENT ENVIRONMENT FOR HAND-DRAWN WEB SKETCH REGCOGNITION AND CODE GENERATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 6, page no.h405-h411, June-2025, Available :http://www.jetir.org/papers/JETIR2506753.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

"SKETCHNET: INTEGRATED DEVELOPMENT ENVIRONMENT FOR HAND-DRAWN WEB SKETCH REGCOGNITION AND CODE GENERATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 6, page no. pph405-h411, June-2025, Available at : http://www.jetir.org/papers/JETIR2506753.pdf

Publication Details

Published Paper ID: JETIR2506753
Registration ID: 565347
Published In: Volume 12 | Issue 6 | Year June-2025
DOI (Digital Object Identifier):
Page No: h405-h411
Country: Namakkal, Tamilnadu, India .
Area: Other
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000111

Print This Page

Current Call For Paper

Jetir RMS