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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM58597

AI-Powered Multilingual Content Localization Engine

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM58597

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM58597

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

1YRS

1Prof. Yogesh R. Shelokar

2H

2Anuja Hirulkar

3D

3Rutuja Dange

4J

4Vaishnavi Jawanjal

5K

5Bhoomi Khokad

6M

6Meghna Meshram

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Abstract

The rapid growth of digital learning platforms has improved access to educational resources worldwide, but language barriers still limit accessibility, especially in multilingual countries like India where most online content is available in English. To address this issue, this paper introduces LearnBridge AI, a unified localization and content distillation engine designed to convert educational materials into more than 22 Indian and foregien languages while also generating concise summaries. The system uses a hybrid architecture combining local processing with advanced language models. Audio content is transcribed using a locally deployed OpenAI Whisper speech-to-text model to ensure data privacy. For multilingual translation, the system integrates Gemini 1.5 Flash, while local extractive summarization reduces latency and API costs. Implemented using Node.js, Python, and React.js, LearnBridge AI provides an efficient and scalable solution for multilingual educational accessibility.

KEYWORDS

Multilingual Localization Speech-to-Text Whisper Model Gemini LLM Educational Technology Content Summarization Natural Language Processing.

Cite This Article

1Prof. Yogesh R. Shelokar, 2Anuja Hirulkar, 3Rutuja Dange, 4Vaishnavi Jawanjal, 5Bhoomi Khokad, 6Meghna Meshram, "AI-Powered Multilingual Content Localization Engine," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM58597

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Publication Date

3/30/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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