The Use of Artificial Intelligence in Building Sign Language Recognition Application

Communication serves as the foundation upon which societies are built, manifesting

in various forms such as gestures, sounds, drawing, writing, and speech. However,

for individuals with hearing impairments, traditional modes of communication like

spoken language can pose substantial challenges. These challenges often result in

barriers to effective interaction, not only in personal and social settings but also in

educational and professional environments. To bridge this gap, sign language has

emerged as an essential and empowering communication tool, enabling individuals

with hearing impairments to express themselves with clarity and nuance. Sign

language is not just a series of gestures but a fully developed language system. It

serves as a vital channel through which individuals with hearing impairments can

interact with the world around them, breaking down the barriers that their condition Despite technological advances, the recognition and interpretation of sign

language remain complex tasks, especially given the inherent complexity of sign

languages characterized by multiple channels, including manual gestures, facial

expressions, and body language.

This study leverages the Python programming language and the YOLOv8 object

detection framework to develop a practical sign language recognition application.

This system utilizes deep learning and computer vision to interpret sign language

gestures in real-time, aiming to address the limitations of existing recognition systems.

The developed system achieved a 95% accuracy rate in recognizing sign language

gestures, demonstrating the effectiveness of combining Python with YOLOv8 for this

application.

This research contributes to the field of assistive technologies by providing a

versatile and user-friendly tool that can be deployed across various platforms

and environments, ultimately enhancing communication and social integration for

individuals with hearing impairments.

imposes.