Sign language recognizer for video conferencing apps.
- An RNN-based sign language recognizing application using the LSTM model.
- Build a model for 50 Signs with an accuracy of 95.66% in real-time recognization.
- Technologies used: Opencv, Pillow, MediaPipe, NumPy, Pandas, TensorFlow, Keras, scikit-learn.