Hand Motion Sign Language Detection Using Convolutional Neural Network (CNN) and YOLOv5 Object Detection Framework

The majority of people who don't hear or speak depend upon sign language as their main method of communication. Sign language mastery presents particular difficulties to learners. Our system will convert sign language gestures from interpreters into spoken and textual words. Our technology functions as a personal language translator which operates through computers or smartphones. The combination of OpenCV alongside his YOLOv5 framework enables users to watch hand gestures while detecting gesture signals accurately. Through this system individuals who struggle with hearing and speaking abilities can conveniently approach anyone. The system integrates with cellphone calls and applications along with video conversation features. We aim to provide affordable communication solutions that work for every person.