Sign Language Detection using Yolo | Machine Learning Projects 2025

Sign Language to Text Conversion Project with Source Code

Sign Language to Text Conversion using Machine Learning, This project will take input from real time laptop front web-camera and predict that particular character that will shown from hand sign and make the word from that particular hand sign and gave suggestion finally it converts into sentence.

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.

Conversion of Sign Language to Text using Machine 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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