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telehealth

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Built a convolutional neural network to detect visual symptoms of medical conditions in eye images, along with a Flask application allowing users to upload their own pictures and receive real-time predictions

  • Updated Feb 5, 2021
  • Jupyter Notebook

Health at Hand’s mobile SDK project; known as HAH Connect; is developed for mobile application developers to integrate HAH telehealth platform with native iOS and Android mobile apps. These libraries will enable your mobile app to become a telehealth solution and offer on-demand video consultations with HAH doctors.

  • Updated Apr 21, 2021
  • Ruby

We proposed a 24/7 health care surveillance system through which the vital human organ activities are first sensed by the pulse and temperature wearable sensors, then this data is processed by passing through a microcontroller (Arduino UNO) and hardware high pass – filters, after that the meaningful data from the microcontroller in real-time is …

  • Updated Sep 2, 2021
  • PHP

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