Sign Language Recognition System

The Sign Language Recognition System (SLRS) is a computer vision–based real-time application that recognizes hand gestures and converts them into meaningful text or speech. Developed using Python, OpenCV, the system ensures high accuracy and quick response in classifying gestures. With the integration of text-to-speech technology, SLRS enables smoother communication between speech- and hearing-impaired individuals and the general community. This project addresses challenges such as dependence on human interpreters, limited accessibility to sign language education, and communication barriers in daily life. Beyond immediate communication, SLRS has significant societal impact by fostering inclusivity, reducing communication gaps, and creating opportunities in education and employment. The system also sets a foundation for future enhancements such as multilingual support, mobile deployment, and integration with advanced assistive technologies.