Skip to content

A project leveraging OpenCV, MediaPipe, and Python to recognize and translate sign language gestures into text through real-time video processing. It features robust hand gesture detection, accurate machine learning models, and a user-friendly interface, aimed at enhancing communication for the hearing-impaired community.

License

Notifications You must be signed in to change notification settings

adityakishor1/Sign_language_conversion

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 

Repository files navigation

🚀 Project Completed: Sign Language Converter using OpenCV & Python 🚀

I'm excited to share that I’ve developed a Sign Language Converter using OpenCV and Python. This project leverages real-time video processing to recognize and interpret sign language gestures, making communication more accessible for the hearing-impaired community.

🔍 Key Features:

  • Hand Gesture Detection using OpenCV and MediaPipe.
  • Real-time Processing to convert gestures into corresponding text.
  • Machine Learning Models for accurate sign recognition.
  • User-friendly Interface built for easy interaction and conversion.

💡 Technology Stack: OpenCV, Python, MediaPipe, TensorFlow, and more.

This project taught me a lot about computer vision, gesture recognition, and how technology can bridge communication gaps. I’m excited to explore more such opportunities in AI-driven accessibility solutions!

About

A project leveraging OpenCV, MediaPipe, and Python to recognize and translate sign language gestures into text through real-time video processing. It features robust hand gesture detection, accurate machine learning models, and a user-friendly interface, aimed at enhancing communication for the hearing-impaired community.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published