Sign Language Recognition using Machine Learning Project | OpenCV | Computer Vision

Sign Language to Text Conversion Project using Python

Sign Language Detection and Sentence Suggestion leverage neural networks to interpret and understand sign language gestures. This application translates sign language into text or speech, facilitating communication between individuals with hearing impairments and those who do not know sign language. The neural networks’ proficiency in recognizing diverse sign language gestures ensures accurate translation and promotes inclusivity in communication.

Sign Language Recognition System using Machine Learning, This project works on Images as well as real-time hand gesture detection from laptop webcam. User have to upload any hand gesture image to machine learning model then it will identify the gesture Similarly It will detect word gesture, the laptop front camera will open and it identify real-time and it try to recognize few signs like call, thank you, house, I love you, and yes etc. parallelly it will show accuracy of hand sign.

This Sign Language Project will Detect:-

  • 1. Alphabet (A to Z)
  • 2. Numbers ( 0 to 9 )
  • 3. Words ( Ok, Thank you, Bye.. )

Sign Language to Text Conversion using Deep Learning

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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