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WaveChat
Bridge the Gap with Sign Language Video Chat
WaveChat is an open-source communication platform designed to empower the Deaf and Hard of Hearing (DHH) community by making sign language communication more accessible. The application uses gesture recognition to interpret sign language in real time, enabling seamless interaction through video chats. With support for mobile, desktop, and cloud-based platforms, WaveChat ensures communication is inclusive, efficient, and intuitive. Users can chat, type, or gesture in their preferred language, which is then seamlessly translated into the end-user’s language, ensuring smooth and accessible communication for everyone.
Sign Language Recognition
WaveChat leverages advanced machine learning models, such as TensorFlow, to analyze hand gestures in real time and seamlessly translate them into spoken or written language. By recognizing and interpreting complex sign language gestures, WaveChat empowers individuals to communicate effortlessly across language barriers, fostering inclusivity and understanding. Whether you’re using it for personal conversations, professional settings, or educational purposes, WaveChat’s state-of-the-art technology ensures accurate, efficient, and natural communication for everyone
platform
Desktop
WaveChat’s desktop app for macOS, Windows, and Linux offers real-time sign language recognition, translation, and high-quality video calls. Optimized for performance, it supports webcams and microphones for seamless communication.
Mobile
Stay connected on the go with WaveChat’s mobile app for iOS and Android, built with React Native and Expo. Enjoy real-time sign language recognition, translation, and video chat, all optimized for a seamless mobile experience.
cloud
Access WaveChat anytime, anywhere with our cloud-based web app—no downloads required. Enjoy real-time sign language recognition, translation, and video chat directly from your browser.
Customizable Language Support
WaveChat leverages advanced machine learning models like TensorFlow to analyze hand gestures and translate them into spoken or written language in real time. With customizable language support, it accommodates a variety of sign languages, including ASL (American Sign Language), BSL (British Sign Language), CSL (Chinese Sign Language), and more, ensuring accessibility for diverse users worldwide.
Real-Time Video Chat
WaveChat provides real-time video chat translation, combining high-quality video streaming with instant gesture recognition. As users communicate in sign language, their gestures are instantly translated into spoken or written language, ensuring a smooth and natural conversation flow.
Open Source
WaveChat is open-source, and contributions are welcome to help make it more robust and inclusive. If you’d like to contribute, please email your GitHub repository submission to wavechat@crystalicestudio.com. Together, we can enhance communication accessibility for everyone.