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This project utilizes MediaPipe Holisitcs and OpenCV to classify the key values of the alphanumeric characters of ASL. It also contains a learning preview of a huge variety of hand signs from the ASLLVD Dataset.

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samyabose/Sign-Language-Recognition

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🤙 Sign Language Recognition


Preview

This project utilizes MediaPipe Holisitcs and OpenCV to classify the key values of the alphanumeric characters of ASL. It also contains a learning preview of a huge variety of hand signs from the ASLLVD Dataset.

Tip: The model is simplified for easy hosting and only contains data records of the right hand. Please recollect and retrain the model to accomodate further variations




For detailed guides, steps and instructions on 'ASLLVD Extraction and Exploration', check out: Colab Notebook



This streamlit app contains the following sections:

  • 🌍 Home: This section contains an overview of all the contents and links to get started.

  • 📖 Learning Interface: This section lets you explore and visualise, a huge collection of hand signs from the ASLLVD Dataset.

  • 📷 Webcam Interface: This section lets you test two models trained on alphanumeric characters of ASL.






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This project utilizes MediaPipe Holisitcs and OpenCV to classify the key values of the alphanumeric characters of ASL. It also contains a learning preview of a huge variety of hand signs from the ASLLVD Dataset.

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