IndiTranslate: Bridging Language Barriers in India
The IndiTranslate project tackles the challenge of communication barriers in India’s multilingual context, which includes 22 official languages and numerous dialects. It proposes areal-time translation system using advanced NLP and machine learning to facilitate seamless translations among Indian languages. With a user-friendly interface, the system ensures accessibility for all users and achieves over 85% accuracy, validated through extensive testing. Its scalable architecture supports cloud deployment for high availability. Future improvements include expanding language coverage, offline translation, context-aware translations, and real-time speech features. IndiTranslate aims to enhance communication, fostering inclusivity and improving access to essential services in India.
Authors
- Sujeet Kumar (ORCID: https://orcid.org/0000-0002-0833-158X)
- Shradha Jaiswal
- S. P. Verma
- Arvind S Kapse
- Santhosh Krishna B V
- Shruti Sameer Hosur
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/ictbig64922.2024.10911108
- Citations
- 1
- Primary Topic
- South Asian Studies and Conflicts
- Type
- article
- Field-Weighted Citation Impact
- 2.23