LINGOBRIDGE AI: A MULTILINGUAL INTELLIGENT SYSTEM FOR TRANSLATION AND SUMMARIZATION OF INDIAN LANGUAGES
This project aims to develop an efficient multilingual translation and summarization tool tailored for Indian languages, addressing the digital communication challenges faced by speakers of low-resource languages. Existing tools often lack contextual understanding, resulting in inaccurate translations. LingoBridge AI introduces a transformer-based LLM that bridges this gap by accurately translating and summarizing documents, speech, and text. It employs language clustering and a virtual intermediary called the "Lamp Language" to reduce errors in inter-cluster translation. The model ensures real-time performance and accessibility through web and mobile platforms. Users receive results in both text and audio formats in their preferred language—Hindi or English. This system promotes digital inclusivity and empowers citizens by improving access to essential information. Ultimately, the initiative supports India's linguistic diversity while fostering an equitable and digitally connected society.
Authors
- Susanta Kumar Rout (ORCID: https://orcid.org/0000-0003-3730-0480)
- Dinesh Naik (ORCID: https://orcid.org/0000-0002-8989-6282)
- Ekta Ghosh (ORCID: https://orcid.org/0000-0001-7626-7180)
- Satish Verma (ORCID: https://orcid.org/0000-0003-4470-5398)
- Divyank Jain Singhvi
Publication Details
- Journal
- International Journal Of Trendy Research In Engineering And Technology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.54473/ijtret.2025.9407
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00