Real Time Sign Language Detection

A real-time sign language translator helps communication between the deaf and mute community and the general public. The main purpose of this project is to demonstrate a methodology that simplified Sign Language Recognition using MediaPipe’s open-source framework and machine learning algorithm.

Authors

• @swojas bhalunkar
• @swapnil dadamode
• @divya deshmukh

Step by step process to build Sign Language Recognition project using MediaPipe

Run !pip install mediapipe to install Mediapipe in your Windows/Mac OS. Use EXTRACT_DATA.py to Pre-Proprocess dataset. That is extracting landmarks as features using Mediapipe. Build your own Machine Learning Model. Use app.py to test your model in real-time environment using Mediapipe Technology

Installation

Run the below command in your Windows/Mac OS.

  pip install -r requirements.txt

Use app.py to test your model in real-time environment using Mediapipe Technology

Sign language for reference

Demo video

demo.mp4