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A machine learning project developed in Python that recognizes American Sign Language (ASL) in real time. The project uses a CNN to analyze video input from a webcam and accurately recognize and interpret ASL signs, making it a powerful tool for improving communication and accessibility for the deaf and hard-of-hearing community.

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sahiljawale54/Real_Time_ASL_Recognition_System

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Sign language recognition system

Reads your hand signs and translates them to English words using Tensorflow object detection API
The model is built using transfer learning from pretrained model ssd_mobilenet model
The dataset is made manually by running the Image Collection python file that collects images from your webcam for all the mentioned below signs in the American Sign Language :

  • Yes ✔️
  • No ❎
  • Hello ✋
  • Please 🥺
  • Thank you 😺

The model was made only with help of Nicholas Renotte tutorial He's an inspiration!

TEST DATASET OUTPUT

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Result Image

video.mp4

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A machine learning project developed in Python that recognizes American Sign Language (ASL) in real time. The project uses a CNN to analyze video input from a webcam and accurately recognize and interpret ASL signs, making it a powerful tool for improving communication and accessibility for the deaf and hard-of-hearing community.

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