Paper Title

Sign Language Translator

Article Identifiers

Registration ID: IJNRD_218477

Published ID: IJNRD2404484

DOI: Click Here to Get

Authors

Ansh Pahwa , Aaryan Singh , Arvind Kumar , Aryan Chaudhary

Keywords

American Sign Language,Deep learning, Real-Time gesture to text convertor

Abstract

Sign language is a language that Deaf people use to communicate with other normal people in the community. Although the sign language is known to hearing-impaired people due to its widespread use among them,it is not known much by other normal people. In this project, we have developed a sign language recognition system for people who do not know sign language,to communicate easily with hearing Impaired people. This project is built to interpret American Sign Language and also provides a complete overview of deep Learning-based methodologies for sign language recognition. This will benefit deaf and hearing-impaired people by offering them a flexible interpreting alternative when face-to-face inter -preting is not available. And the main purpose of our project is to develop an intelligent system which can act as a translator between normal people and deaf or dumb people ,and can be the communication path between people with speaking deficiency and normal people with both effective and efficient way.

How To Cite

"Sign Language Translator", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.e813-e817, April-2024, Available :https://ijnrd.org/papers/IJNRD2404484.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : e813-e817

Other Publication Details

Paper Reg. ID: IJNRD_218477

Published Paper Id: IJNRD2404484

Downloads: 000121151

Research Area: Computer Science & Technology 

Country: Sahibabad Ghaziabad, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404484.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404484

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area