M. Prakash, A. Ponmalar, S. Deeba, A. Akilandeswari, S. Rasool, P. Lavanya
{"title":"VSCODE- Code With Voice Using Natural Language Processing(NLP)","authors":"M. Prakash, A. Ponmalar, S. Deeba, A. Akilandeswari, S. Rasool, P. Lavanya","doi":"10.1109/ICCPC55978.2022.10072106","DOIUrl":null,"url":null,"abstract":"Physically Challenged people who are interested in coding, in the current scenario cannot code and exhibit their knowledge in programming skills. Our project enables them to code without using a keyboard. They can code entirely by their voice and execute their code. We are converting the user's speech to text by Natural Language Processing (NLP). With the use of text obtained from NLP model we generate code snippets using our custom code generator API. The code snippets are generated in the Visual Studio Code text editor using our own VSCode extension.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computer, Power and Communications (ICCPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPC55978.2022.10072106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Physically Challenged people who are interested in coding, in the current scenario cannot code and exhibit their knowledge in programming skills. Our project enables them to code without using a keyboard. They can code entirely by their voice and execute their code. We are converting the user's speech to text by Natural Language Processing (NLP). With the use of text obtained from NLP model we generate code snippets using our custom code generator API. The code snippets are generated in the Visual Studio Code text editor using our own VSCode extension.
对编码感兴趣的身体有缺陷的人,在当前的场景中无法编码并展示他们在编程技能方面的知识。我们的项目使他们能够在不使用键盘的情况下编码。他们可以完全通过自己的声音编码并执行代码。我们正在通过自然语言处理(NLP)将用户的语音转换为文本。通过使用从NLP模型获得的文本,我们使用自定义代码生成器API生成代码片段。代码片段是在Visual Studio code文本编辑器中使用我们自己的VSCode扩展生成的。