SignBridge AI

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  Footer section

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  The language selector section. The User selects the language he wants to translate the signs to

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  The Header section

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  the camera button. Onclick it allows the user to start the camera.

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  The camera feed section

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  The translation section. Here the user will see the translation of the sign language in the selected language.

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  Guideline for the usage of the SignBridge AI

🚀 Inspiration Millions of deaf individuals face communication barriers daily — from clinics to customer service desks. We were inspired to build a simple, camera-based tool that enables sign language users to communicate instantly with anyone, without needing interpreters or expensive equipment.

🤖 What it does SignBridge AI uses a device’s camera to capture sign language gestures and translates them into text in real time using the Gemini API. It enables two-way communication by allowing hearing individuals to read signed conversations instantly.

🛠️ How we built it Frontend built using Vite + JavaScript

Real-time video processing via the device's web camera

Frame analysis and gesture detection handled via custom logic and sent to the Gemini API for sign-to-text conversion

Integrated into a clean, mobile-friendly interface using Tailwind CSS

🧩 Challenges we ran into Gemini API's image input limitations required creative workarounds for continuous gesture recognition

Ensuring fast and accurate frame capture without lag

Translating partial signs or unclear gestures into meaningful text

Managing API calls efficiently to avoid exceeding usage limits during testing

🏆 Accomplishments that we're proud of Built a fully functional MVP that works with just a browser and webcam

Delivered real-time, smooth sign-to-text translation

Kept the app lightweight, accessible, and easy to use on both desktop and mobile

Created a demo experience without needing expensive ML infrastructure

📚 What we learned How to maximize the Gemini API's multimodal capabilities

Efficient ways to process video input and extract meaningful frames

UX considerations for users with hearing impairments

The importance of lightweight AI solutions in accessibility tech

🔮 What's next for SignBridge AI Integrating reverse translation: text/voice to sign animations

Adding multilingual support

Deploying a PWA version for offline/low-data environments

Training a custom model for more accurate gesture interpretation

Partnering with schools and health centers for real-world testing

Built With

• geminiapi
• react
• tailwind