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