Sign Language Recognition Project (HackMIT post)
PalmLabs combines a Google Chrome Extension and a web application to make communication more accessible through advanced computer vision technology.
- Navigate to extension directory:
cd extension
- Install dependencies:
npm install
- Build the extension:
npm run build
- Load the built extension in Google Chrome for testing
Access our web app at: https://localhost:5173/
- Custom CNN model trained by RavenOnur
- Model available at: https://huggingface.co/RavenOnur/Sign-Language
- Inference performed using PyTorch
Train our own CNN model including recognition of static words
Component | Technologies |
---|---|
Frontend | • React with TypeScript • Convex |
Backend | • Node.js • FastAPI |
Data Storage | • Convex • PostgreSQL |
- TuneHQ: LLaMa model hosting
- Convex Full-Stack: Seamless frontend-backend integration
- Clerk Auth: Secure user authentication