Pakistan sign language recognition and translation app for deaf individuals
| dc.contributor.author | Abdul Rehman | |
| dc.contributor.author | Sahibzada Haider Elahi | |
| dc.contributor.author | Zaheer Ahmad | |
| dc.date.accessioned | 2026-01-23T10:28:11Z | |
| dc.date.available | 2026-01-23T10:28:11Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | To address the basic requirement for mechanical headways in Pakistan Communication via gestures (PSL), this undertaking is centered around fostering a high-level PSL acknowledgment framework coordinated inside an instructive application. PSL, which is fundamental for the hard-of-hearing local area in Pakistan, as of now needs adequate mechanical assets. This task looks to fill this hole by utilizing cutting-edge AI and PC vision methods to exactly decipher and interpret PSL motions. The application capabilities as an intuitive instructive stage, utilizing 3D activities to successfully show PSL signs. It goes past motion acknowledgment by offering clients a thorough and vivid growth opportunity in communication via gestures. The primary goal is to construct a vigorous PSL acknowledgment framework inside the application, working with smooth correspondence and filling in as a unique instructive device for the two clients of PSL and those new to it. This venture is committed to engaging people by advancing inclusive using innovation, guaranteeing that learning PSL is available to everybody, and improving correspondence between various etymological networks. Combining schooling with innovation, the task means cultivating a more interconnected and figuring-out society, pushing for equivalent open doors and availability for all. | |
| dc.identifier.uri | https://escholar.umt.edu.pk/handle/123456789/18510 | |
| dc.language.iso | en | |
| dc.publisher | UMT.Lahore | |
| dc.title | Pakistan sign language recognition and translation app for deaf individuals | |
| dc.type | Thesis |