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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM44950

AI Powered Language Translator

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM44950

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM44950

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

BG

Balavishnu G

KM

Kanchana M

SM

Santhosh M

HrR

Hrithik raj R

DRMM

Deepak Raj M M

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Abstract

The Real-Time Language Translator is an innovative voice recognition-based tool designed to bridge communication barriers by providing seamless, real-time language translation. Utilizing advanced speech recognition and text- to-speech technologies, the bot functions as a virtual interpreter, enabling users to translate spoken words into their desired language with high accuracy and natural fluency. Built with a Python-based technology stack, including Google Text-to-Speech (GTTS), Speech Recognition, Googletrans, and Streamlit, the tool ensures efficient and user-friendly interaction. Integration with Pygame enhances the audio processing experience, delivering clear and precise translations.This solution is particularly useful in multilingual environments, such as international business meetings, travel, and educational settings, where instant communication is essential. By eliminating the need for manual translation, the bot significantly reduces language barriers and promotes global connectivity.With a lightweight and intuitive interface powered by Streamlit, users can operate the translator with minimal effort. Whether for professional or personal use, the Real-Time Language Translator Bot is a step forward in enhancing global communication, making language differences less of a challenge in our increasingly interconnected world.

KEYWORDS

Real-Time Language Translation Speech Recognition Text- to-Speech Googletrans AI-powered Translator Multilingual Communication

Cite This Article

Balavishnu G, Kanchana M, Santhosh M, Hrithik raj R, Deepak Raj M M, "AI Powered Language Translator," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM44950

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Publication Date

4/18/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Review Report (Confidential)
Copyright Form (Office)

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0

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

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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