Aniket Wahul

Problem Statement Millions of people worldwide rely on sign language for communication, but many non-signers struggle to understand it. This language barrier limits interactions between deaf or hard-of-hearing individuals and the general public, making daily communication difficult in workplaces, educational institutions, healthcare, and social settings. Existing solutions, such as human interpreters, are not always available, and text-based communication can be slow. This project provides an AI-powered real-time sign language recognition system that translates hand gestures into text and speech, making communication faster, more inclusive, and accessible. How People Can Use It ✅ Bridging the Communication Gap Converts sign language into spoken words in real-time, allowing deaf and hearing individuals to communicate seamlessly. Supports multiple Indian languages, making it useful in multilingual environments. ✅ Enhancing Accessibility in Public Services Helps in hospitals, government offices, and customer service centers where sign language interpreters are unavailable. Improves accessibility for people with speech impairments by providing an alternative way to express themselves. ✅ Education & Learning Assists teachers and students in classrooms, making education more inclusive for deaf students. Helps hearing individuals learn sign language by providing gesture-to-text translations. ✅ Smart Assistive Technology Can be integrated with robots, AI assistants, and smart devices to respond to sign language commands. Useful for voice-controlled systems where speaking might not be possible.