Inspiration
I wanted to make a prototypes of a system that will help deaf people communicate easily
What it does
Converts sign language poses into english letters in real time
How I built it
I used Pytorch to make a neural network and trained the neural network on a dataset of sign language letter gestures, then I used OpenCV to use the webcam and look for certain gestures in the camera and make a prediction of the gesture
Challenges I ran into
Many, time, i don't have time to explain right now
Accomplishments that I'm proud of
I have a much better understanding in CNN, machine learning neural networks and deep learning
What I learned
I have a much better understanding in CNN, machine learning neural networks and deep learning
What's next for Sign Language Detection in Python
Improving the implementation of it with more phrases to detect and greater accuracy
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