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checkyourself

Anomaly detection in Health

A webapp to monitor your health

During a 40 hours hackathon at ArchHack16 Washington University St. Louis, I, along with a team of three, built an app that takes personalized input data from user using a wearable device. The data can be from heart rate, temperature, to coughing pattern and tells you if you are healthy or need a checkup based on a learning algorithm.

My role was to build the anomaly detection algorithm to detect abnormal heart beats, temperature, and unusual coughing patterns based on supervised learning.

Team members

  • Machine Learning
  • Arduino
  • Web Development
  • HealthTech

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