Deep learning For Mobile Devices

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Project Aims

  • Develop a DL Model to classify a spoken signal into singing vs. speaking vs. silence of the last 2 seconds of the signal
  • Design an iOS/Android application to deploy this project for real-time application.
  • A more advanced version of this project aims to use Mobile Deep Learning for Plant/ Weed Recognition and their diseases in remote areas.