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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM38803

Signalyze

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM38803

Volume:

8 |

11 |

Nov 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM38803

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

NJ

Niharika Jat

SP

Sakshi Pachlaniya

MC

Manvi Choudhary

RP

Riya Pillai

RM

Rashi Malviya

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Abstract

Signalyze is an innovative platform aimed at bridging communication gaps between sign language users and those unfamiliar with it. By utilizing real-time, AI-driven gesture recognition and translation, Signalyze provides users with immediate and precise translations, supporting communication across varied sign languages. This project seeks to improve inclusivity and accessibility, enabling smoother interactions for the deaf and hard-of-hearing community. Signalyze focuses on real-time performance, adaptive recognition of signing styles, and a user-centric design to ensure reliable communication in diverse settings.

KEYWORDS

Sign language real-time translation AI-driven feedback gesture recognition inclusivity accessibility.

Cite This Article

Niharika Jat, Sakshi Pachlaniya, Manvi Choudhary, Riya Pillai, Rashi Malviya, "Signalyze," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 11, Nov 2024. https://doi.org/10.55041/IJSREM38803

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Publication Date

11/15/2024

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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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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