Please use this identifier to cite or link to this item:
http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9814| Title: | American Sign Language Recognition using Deep Learning |
| Authors: | Malhotra, Manya Hooda, Diksha [Guided by] |
| Keywords: | Artificial Intelligence Machine Learning Specially abled American Sign Language Deep learning |
| Issue Date: | 2023 |
| Publisher: | Jaypee University of Information Technology, Solan, H.P. |
| 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. |
| Description: | Enrolment No. 191427 |
| URI: | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9814 |
| Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| American Sign Language Recognition using Deep Learning.pdf | 2.14 MB | Adobe PDF | View/Open |
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