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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