Sign Language Recognition using Machine Learning
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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 alphabets, digits and 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.
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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