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Well-being Tracker

Demo link: https://tinyurl.com/ycm6w4e6

Current focus at the moment is redoing the UI with React and some minor refactoring on the back-end.

How to use:

  1. Create an account
  2. Select "add metrics" from the menu and select the metrics you want to track
  3. Add/edit your entries for a given date and click "save changes" to have the entry values reflected
  4. If you wish to not track a metric anymore, select "remove metrics" from the menu and select the metric you want to delete

This app allows a user to choose certain health-related metrics to track on a regular basis (i.e. total exercise time, hours of sleep, social time, etc.) and display them on a line graph next to each other. These metrics can be quantitative (i.e. hours of sleep), or subjective (i.e. mood), the latter of which is rated on a scale of 1-10.

What's the point of this?

Many people are well-aware of what's good for their health. Getting quality sleep, social interaction, and eating nutritious food are some examples of habits we know are important. For many of us, there's a roadblock that can keep us from being diligent in practicing healthy habits. We may be aware of how we feel on a given day, but we don't pay much attention to why we feel that way. This app is a tool to help facilitate self-awareness about how certain behaviors may make us feel. Understanding that a certain behavior makes you feel better or worse will hopefully motivate you to be diligent about repeating or avoiding that behavior.

But correlation doesn't equal causation, right?

That's right, it doesn't. This app is not intended to be a foolproof way of knowing why you feel the way to do. However, using the app for a long-enough period of time is likely to display some significant relationship between certain healthy habits and your subjective wellbeing. Changing your behavior based on a false pattern is unlikely to be harmful if you use common sense (i.e. choosing to sleep less if a negative correlation exists between sleep time and energy levels), and some false patterns may even be beneficial if acted upon (i.e. choosing to eat less sugar when a nonsignificant positive correlation exists between sugar intake and stress).

Main page UI makes AJAX requests to a REST API built with Java/Spring Boot.

Still a work in progress. Future goals include a redone UI with React, recommendation engine, progressive web app conversion, and reading user nutrition data from an external API.