Sign Detection Project

This project aims to develop a sign detection system specifically designed for mute and deaf individuals. The system utilizes computer vision techniques to detect and interpret various signs commonly used by mute and deaf people.

Features

• Sign Detection: The system can detect and recognize a wide range of signs.
• Real-time Processing: The system operates in real-time, allowing for immediate feedback and response to the user's signs.
• User-friendly Interface: The system provides a user-friendly interface that enables easy interaction and communication for both the user and the system.

Tech stack

• Reactjs , tainwindcss : Frontend
• Flask : Backend
• Tensorflow , CNN , Media pipe , Opencv, Kaggle datasets, Handdetector library from python : ML model

Getting Started

To get started with the sign detection project, follow these steps:

1. Clone the repository to your local machine.
2. Go to Frontend and write npm install
3. npm run dev to start the frontend server
4. Go to backend.
5. python Cameraapp.py
6. Also run python Custom_camera.py to an another terminal
7. Now it is good to go for run

Contributing

We welcome contributions from the open-source community. If you would like to contribute to the sign detection project.