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

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
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article

LINGOBRIDGE AI: A MULTILINGUAL INTELLIGENT SYSTEM FOR TRANSLATION AND SUMMARIZATION OF INDIAN LANGUAGES

Susanta Kumar Rout, Dinesh Naik, Ekta Ghosh, Satish Verma et al.
International Journal Of Trendy Research In Engineering And Technology
Natural Language Processing Techniques
article

LINGOBRIDGE AI: A MULTILINGUAL INTELLIGENT SYSTEM FOR TRANSLATION AND SUMMARIZATION OF INDIAN LANGUAGES

Susanta Kumar Rout, Dinesh Naik, Ekta Ghosh, Satish Verma, Divyank Jain Singhvi
article en

Abstract

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.

International Journal Of Trendy Research In Engineering And TechnologyVol. 09(04)
Openalex Percentile: Top 95%
Natural Language Processing Techniques
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