Sign Language Translator

Registration ID: IJNRD_218477

Published ID: IJNRD2404484

DOI: Click Here to Get

Ansh Pahwa , Aaryan Singh , Arvind Kumar , Aryan Chaudhary

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

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.

Published Paper   E-Certificate

Ansh Pahwa, Aaryan Singh, Arvind Kumar, & Aryan Chaudhary (April-2024). Sign Language Translator. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), e813-e817. https://ijnrd.org/papers/IJNRD2404484.pdf

Volume 9 Issue 4, April-2024

Pages : e813-e817

Paper Reg. ID: IJNRD_218477

Published Paper Id: IJNRD2404484

Downloads: 000121986

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

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

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

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