" Sign Language Interpreter using Deep Learning " is a part of our B.Tech Final Year SDP Project.The primary objective is to develop an accurate and efficient system capable of translating sign language gestures into text and audio, facilitating seamless interaction for the deaf and hard-of-hearing community. The system utilizes neural networks trained on extensive sign language datasets to recognize the intricate movements and expressions inherent in sign language. Computer vision techniques are employed to capture and interpret gestures accurately, ensuring a high level of precision in the translation process.
Sing.Language.Interpreter.using.Deep.Learning.SDP-IH18.Project.mp4
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tensorflow
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open-cv
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cvzone
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mediapipe
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numpy
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pyttsx3
1.After cloning this repo, run the following command to install all dependencies
pip install tensorflow opencv-python pyttsx3 numpy cvzone mediapipe
2.Run the following command to launch the application
python app.py
