Language Translator from English to Hindi(Official Language)

In a multilingually rich country such as India, communication across language speakers should be effective to ensurepublicservicesare delivered easilythroughdigitalsources.Thisprojectoffersa user-friendly, secure, and scalable language translator device specifically for installation on government organizational websites to auto- translate English to Hindi, being the official Indian government language. The system takes advantage of current web technologies—HTML5, CSS3 (Bootstrap 5 with Neumorphismstyle), andJavaScript—toachievea responsive and accessible frontend. On the backend, it uses Python (Flask framework), the deep_translator library, and language detection APIs to provide accurate and context-sensitive translations. Its added features include real-time language detection, voice input through Web Speech API, tracking of translation history, and dark/light mode switching, thus achieving accessibility and simplicity for users of different technical savvy.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-14
DOI
https://doi.org/10.22214/ijraset.2025.70887
Primary Topic
Translation Studies and Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

Language Translator from English to Hindi(Official Language)

Konatham Teja
International Journal for Research in Applied Science and Engineering Technology
Translation Studies and Practices
article

Language Translator from English to Hindi(Official Language)

Konatham Teja
article en

Abstract

In a multilingually rich country such as India, communication across language speakers should be effective to ensurepublicservicesare delivered easilythroughdigitalsources.Thisprojectoffersa user-friendly, secure, and scalable language translator device specifically for installation on government organizational websites to auto- translate English to Hindi, being the official Indian government language. The system takes advantage of current web technologies—HTML5, CSS3 (Bootstrap 5 with Neumorphismstyle), andJavaScript—toachievea responsive and accessible frontend. On the backend, it uses Python (Flask framework), the deep_translator library, and language detection APIs to provide accurate and context-sensitive translations. Its added features include real-time language detection, voice input through Web Speech API, tracking of translation history, and dark/light mode switching, thus achieving accessibility and simplicity for users of different technical savvy.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 87%
Translation Studies and Practices
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