Imagine a world where every person, no matter how they communicate, can be heard. For millions who rely on sign language, the ability to express themselves freely—to be truly understood, can still be a daily challenge.
That’s what inspired us to build a real-time Sign Language Recognition System, a tool that gives voice to hands. Using the SONY AI camera on a Raspberry Pi, our system captures hand gestures and translates them into spoken English, enabling seamless communication in real-world settings.
Currently, our model translates individual letters, laying the groundwork for full sentence recognition in the near future. With continued training and data collection, we’re confident this technology can evolve to interpret complete phrases, bringing us even closer to natural, flowing conversations.
But this isn’t just about technology, it’s about inclusion. It’s about breaking down barriers that have silenced so many for far too long. Imagine a deaf individual walking into a store or meeting a new friend, and instead of struggling to communicate, they speak freely through our system, effortlessly bridging the gap between sign language and the world around them.
We built this system with one simple goal: to give people the power of voice, without words. Whether it's in a conversation, at school, or in the workplace, this solution makes communication seamless, natural, and real.
Comments
Please log in or sign up to comment.