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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM41681

Talkhands: Communicating with the Silenced Using an Artificial Intelligence Powered Sign Language Converter

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM41681

Volume:

9 |

2 |

Feb 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM41681

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

.NHC1

. Nalini H C 1

MSk

Mr. Sukumar k2

MSNRN3

Ms. Sonu Nisar R N 3

MCR4

Mr. Chandan R 4

MRSC5

Mr. Rakesh S C 5

LBN6

Likith B N 6

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Abstract

The Talk Hands project is developing a sign language converter to help deaf or hard-of-hearing individuals communicate effectively with non-signers. It uses a camera to capture sign language gestures and translates them into text and speech in real-time. By supporting multiple sign languages, the system can cater to users from diverse regions. The goal is to create a solution that is both accurate and scalable, using readily available camera technology for easy implementation. This project aims to improve accessibility, enabling those with hearing impairments to communicate independently in various settings, from social interactions to professional environments. Ultimately, Talk Hands seeks to remove communication barriers and promote inclusivity.

KEYWORDS

Sign Gesture Recognition Convolutional Neural Network (CNN)Trained Model Output Identification Text and Audio Output.

Cite This Article

. Nalini H C 1, Mr. Sukumar k2, Ms. Sonu Nisar R N 3, Mr. Chandan R 4, Mr. Rakesh S C 5, Likith B N 6, "Talkhands: Communicating with the Silenced Using an Artificial Intelligence Powered Sign Language Converter," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 2, Feb 2025. https://doi.org/10.55041/IJSREM41681

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Publication Date

2/20/2025

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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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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