Sign Language to Text Conversion using Machine L earning
Sign To Text is a Python project that aims to translate sign language gestures into text using computer vision and deep learning. The project uses three different models: ResNet50, InceptionV3, and VGG16, which are trained on a dataset of 29 classes of American Sign Language (ASL) alphabets and words. The project uses Tkinter to create a graphical user interface (GUI) that allows the user to choose the model and capture the gesture using a webcam. The project then uses OpenCV to process the image and display the predicted text on the screen.
Sign Language Recognition Using Python & MediaPipe
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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