Sign Language Recognition Project using OpenCV Python
Sign Language Recognition using Machine Learning, In this project it works on Sign to Text Conversion Project, ML model is trained on large dataset of images of word (i.e., call, good, hello, house, no, ok, etc.). User have to show the exact sign of word from hand gesture in front of camera to detect the type of sign it is. Machine Learning model is trained on YOLO Algorithm to detect the hand signs. Yolo algorithm makes the classification and detection. This project works on image-based dataset and live recognition through laptop front webcam. Tkinter is used for developing the graphical user interface.
Sign Language Recognition System using TensorFlow Python
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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