/Med-Tracker

🏥 A health tracker, which uses a tensor flow model to predict best health practices. Tech - Android, Python, Tensor Flow, Firebase. Created in 24 hrs during Hack UMass VI 2018

Primary LanguageJupyter Notebook

Med Tracker

  • Project completed during HackUMass 2018 - Completed in 24 hrs with 3 Developers
  • A daily health tracker where you get notified to add entries daily. Weekly graphs and summary is posted, once you enter 6 times.

Idea

  • We gather information from the user on what's his/her daily routine like
  • A machine learning model trains a data and tests this on that data predicting the best daily practices for the User
  • User is notified every time they open the app and every week to enter their daily activities
  • There are graphs and charts which display the overall profile of the User according to the

Android Native Features

  • Uses recycler views,
  • SQLite database - storing the Weekly data for the user - displaying in a History tab
  • Graphview to display the User data from the last week - using Android graphs
  • Libraries from AndroidMultiSelectDialogy from Abumoallim & GraphView.
  • Icons from materialdesignicons.com

Additional Libraries

  • Tensor Flow model created with Python in Jupyter Notebook
  • Integrated with Machine Learning kit by Firebase
  • Firebase Login, Database implemented

Screenshots


MIT License 2018