Our tool uses advanced hand-tracking technology (powered by MediaPipe) to detect coordinates of 21 key landmarks on your hand. These coordinates are sent to our AI model, which processes hand gestures in real-time, instantly converting letters and signs into Swahili text and spoken audio.

We focus on Tanzanian Sign Language (TSL) and Kenya Sign Language (KSL) variations, including standard Swahili interpretation. We are expanding to support over 100+ sign languages and slang variations globally.

Yes! Our platform is fully responsive and optimized for mobile browser use. You can access the camera interface directly from your smartphone or tablet (using either your front or back camera) via HTTPS.

Currently, our core sign-tech model achieved a 98% translation accuracy in stable lighting environments. Holding your hand steady in frame for 500ms allows the system to analyze gestures accurately.

Yes, our training mode allows users to practice signing letters. The platform provides visual and audio feedback, giving you step-by-step guidance on finger placement to improve your signing accuracy.

Yes! We are planning to release our API endpoint for developers to embed real-time sign language interpretation into third-party communication, educational, and public service apps.