Sign Language Detection for the Kenya Sign Language

The application works by capturing real-time video feed from a camera, processing each frame to detect hand landmarks using Mediapipe, and feeding these landmarks to the a Random Forest classifier. The model then predicts the letter represented by the hand gesture in the frame.

pip install mediapipe
pip install opencv-python

Run the inference.py file to check how it works 👨🏽‍💻.