🌍 Inspiration
The idea for HandsBridge came from seeing how many deaf people struggle to communicate in daily life — in schools, hospitals, and workplaces. As someone passionate about inclusion, I wanted to create a tool that uses sign language to connect deaf and hearing communities. HandsBridge was born from a simple dream: to make sure no one is left out of a conversation.
🛠️ How We Built It
We started by researching common communication barriers faced by the deaf community. Then we designed an interactive interface that translates sign language gestures into text or speech, and speech/text back into sign visuals. We used tools like AI models, gesture recognition APIs, and text-to-speech engines to build a working prototype.
🎓 What We Learned
Throughout the project, we learned how technology can promote accessibility and inclusion. We also discovered that designing for the deaf community requires empathy, collaboration, and user testing with sign language users to make sure the design truly works for them.
⚙️ Challenges
Some challenges we faced included:
Difficulty in training AI models to accurately recognize sign gestures.
Finding datasets for diverse sign languages.
Ensuring smooth translation between sign, text, and voice.
Despite these challenges, we stayed motivated — because we believe communication should have no barriers.
🚀 What’s Next
We plan to expand HandsBridge by adding support for multiple sign languages, improving AI accuracy, and developing a mobile-friendly version for schools, hospitals, and public spaces.
Built With
- framework
- language
- learn
- teach
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