Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)

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Bharat Translate with Bhavanaye

Authors
B. Mehda1, *, B. RajaLakshmi2, Shivraj Karavinakopp3, Yagya Raj Bhatt4, Devasheesh Nigam3, Prakash Dhami4
1Sr. Assistant Professor, Computer Engineering, New Horizon College of Engineering, Bengaluru, Karnataka, India
2Professor and Head of Department CSE, Computer Science and Engineering, New Horizon College of Engineering, Bengaluru, Karnataka, India
3Student, Computer Engineering, New Horizon College of Engineering, Bengaluru, Karnataka, India
4Student, Computer Science and Engineering, New Horizon College of Engineering, Bengaluru, Karnataka, India
*Corresponding author. Email: mehdasajith@gmail.com
Corresponding Author
B. Mehda
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_120How to use a DOI?
Keywords
Real-time Translation; Emotion Detection; Deep Learning; Multilingual Systems
Abstract

The incorporation of real-time language translation with the ability to identify human emotion has become a powerful tool in our ever-multilingual, ever-multicultural world to help us combat barrier by promoting accessibility as well as enhance communication. This research work presents a state-of-the-art system that’s capable of supporting 12 widely spoken Indian dialects along with the English language. It uses advanced transformer-based language models for real-time translation of speech and text inputs. It also contains an emotion detection module that can identify the sentiment of vocalized and written words, providing a more nuanced understanding of human intent and emotional context. Localized contextual help module of the system improves usability in scenario specific for instance restaurant, bus station, shopping mall, and autorickshaw. The architecture, built on the modern deep-learning algorithms, integrates deep sentiment analysis and translation skills to achieve high accuracy and efficiency.

Copyright
© 2025 The Author(s)
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_120How to use a DOI?
Copyright
© 2025 The Author(s)
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

risenwbib
TY  - CONF
AU  - B. Mehda
AU  - B. RajaLakshmi
AU  - Shivraj Karavinakopp
AU  - Yagya Raj Bhatt
AU  - Devasheesh Nigam
AU  - Prakash Dhami
PY  - 2025
DA  - 2025/05/23
TI  - Bharat Translate with Bhavanaye
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 1438
EP  - 1449
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_120
DO  - 10.2991/978-94-6463-718-2_120
ID  - Mehda2025
ER  -