Abstract
Our project introduces a real-time gesture recognition system using ResNet50 and OpenCV. This innovative technology offers precise interpretation of sign movements for individuals with hearing difficulties. This represents a form of interpersonal connection where individuals convey understanding, empathy, or agreement through the subtle movements of their hands. The system is trained on a diverse dataset for flexibility and utilizes ResNet50's capabilities while integrating OpenCV for reduced latency, ensuring effective communication. Rigorous testing validates its accuracy, with user input fosters iterative learning. The study highlights the Importance of continuous enhancement and collaboration with the deaf and hard-of-hearing community for greater inclusiveness.
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