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realtime-detection

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Realtime-Sign-Language-Detection-Using-LSTM-Model

Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.

  • Updated May 29, 2024
  • Jupyter Notebook

Logo Detection of a custom small dataset. The dataset contains logos of 6 famous brands: Nike, Jordans, Adidas, Puma, Kappa, Quicksilver. The model was developed using the Object-Detection-API by Tensorflow

  • Updated May 29, 2021
  • Jupyter Notebook

Sign Language Recognition Platform - A real-time American Sign Language (ASL) recognition system using MediaPipe and React for empowering communication between hearing-impaired individuals and the wider world.

  • Updated Jun 11, 2025
  • TypeScript

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