Sign Language Recognition using Machine Learning

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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