Szerző szerinti böngészés "Alsherif, Mohamed Alsayed Mohamed Alsayed"

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    HarmonyHands
    Alsherif, Mohamed Alsayed Mohamed Alsayed; Adamkó, Attila Tamás; DE--Informatikai Kar
    Harmony Hands" is a project designed to bridge communication gaps between hearing individuals and the deaf or hard-of-hearing community by translating sign language gestures into spoken or written text. The system uses a convolutional neural network (CNN) developed with TensorFlow for recognizing gestures in real time, utilizing computer vision techniques. The frontend is built with React for a responsive user interface, while the backend employs Django, facilitating data management through a RESTful API. The project also utilizes MariaDB for database management, ensuring efficient data storage. Although it currently focuses on one sign language, the system is scalable for future expansions to other languages and dialects, aiming to make communication more accessible and inclusive across various settings.