Lingualeader: Language Prediction and Detection

C. Lavanya; Rama Bansidhar Dan; S. Diksha; Jithin J. Nair; Aryan Ghai; Ankita Yankanchi

doi:10.2991/978-94-6463-718-2_151

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Lingualeader: Language Prediction and Detection

Authors

C. Lavanya¹^{, *}, Rama Bansidhar Dan², S. Diksha³, Jithin J. Nair³, Aryan Ghai⁴, Ankita Yankanchi⁴

¹Assistant Professor, Department of Computer Science and Engineering, New Horizon College of Engineering, New Horizon Knowledge Park Bellandur Main Rd, Near Marathahalli, Bengaluru, 560103, Karnataka, India

²Assistant Professor, Department of Information Science and Engineering, New Horizon College of Engineering, New Horizon Knowledge Park Bellandur Main Rd, Near Marathahalli, Bengaluru, 560103, Karnataka, India

³Department of Computer Science and Engineering, New Horizon College of Engineering, New Horizon Knowledge Park Bellandur Main Rd, Near Marathahalli, Bengaluru, 560103, Karnataka, India

⁴Department of Information Science and Engineering, New Horizon College of Engineering, New Horizon Knowledge Park Bellandur Main Rd, Near Marathahalli, Bengaluru, 560103, Karnataka, India

^*Corresponding author. Email: nhce.lavanyac@gmail.com

Corresponding Author

C. Lavanya

Available Online 23 May 2025.

DOI: 10.2991/978-94-6463-718-2_151 How to use a DOI?
Keywords: Real-time translation; Multilingual communication; Python; Google’s Translation API; Context-aware translation; Usability
Abstract: Language barriers are significant hurdles, affecting global communication, thus impacting sectors like business, tourism, and education. LinguaLeader A language translation app coded on python and streamlit providing a real-time multilingual translation. Google Translation API This app incorporates Google’s Translation API Byte so that you will have no problem using the app to your specific translation. In this paper, we discuss the app development process, technology stack, and future improvements. It explores how LinguaLeader is fulfilling the growing need for precise and context-aware translations across multiple languages.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
Series: Advances in Computer Science Research
Publication Date: 23 May 2025
ISBN: 978-94-6463-718-2
ISSN: 2352-538X
DOI: 10.2991/978-94-6463-718-2_151 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - C. Lavanya
AU  - Rama Bansidhar Dan
AU  - S. Diksha
AU  - Jithin J. Nair
AU  - Aryan Ghai
AU  - Ankita Yankanchi
PY  - 2025
DA  - 2025/05/23
TI  - Lingualeader: Language Prediction and Detection
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 1828
EP  - 1837
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_151
DO  - 10.2991/978-94-6463-718-2_151
ID  - Lavanya2025
ER  -

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