American Sign Language Recognition using Deep Learning

Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9814

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DC Field	Value	Language
dc.contributor.author	Malhotra, Manya	-
dc.contributor.author	Hooda, Diksha [Guided by]	-
dc.date.accessioned	2023-08-31T06:37:22Z	-
dc.date.available	2023-08-31T06:37:22Z	-
dc.date.issued	2023	-
dc.identifier.uri	http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9814	-
dc.description	Enrolment No. 191427	en_US
dc.description.abstract	To interact with one another, we humans require a means of communication. "Specially abled" persons, those with speech or hearing disorders, "Mute" and "Deaf" people, are always reliant on some form of visual communication. People who may not have visual or hearing impairments may have difficulty communicating with those who do.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Jaypee University of Information Technology, Solan, H.P.	en_US
dc.subject	Artificial Intelligence	en_US
dc.subject	Machine Learning	en_US
dc.subject	Specially abled	en_US
dc.subject	American Sign Language	en_US
dc.subject	Deep learning	en_US
dc.title	American Sign Language Recognition using Deep Learning	en_US
dc.type	Project Report	en_US
Appears in Collections:	B.Tech. Project Reports

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