A program for deaf individuals that interprets sign language to written text using deep learning.
OpenCV2 Numpy Keras Tensorflow PYNPUT
The model has been trained on Google Colab using Convolutional Neural Network (CNN) and has reached an accuracy of 95% on test data
To test the model run "test model.py"
To obtain the the numpy classes for training run "preprocessing data.py"
Run "opencv_test.py" to run the program, sign different letters of the alphabet on a white background preferably. To enter a space press space on the keyboard, to delete a letter press backspace and press q to exit.