A robust and highly customizable reporting dashboard built to track and analyze crowdsourced event data.
Created by request of the IM Foundation to allow mental health experts in schools to receive community and staff observations about their students' behavior. Built at the University of Utah as part of the 2021 Graduates' Capstone.
In the U.S., the suicide and depression rate of K-12 students is high. To help prevent these tragedies, we need a way to detect indicators of a student in crisis (i.e. worrying behaviors, expressions, performances) so that school faculty can assess if that student needs help and to what degree. All staff members are in a position to notice events where they think a student may need attention or intervention. Our stakeholders need a way to monitor alarming behavior in real-time and identify potentially troubled students and their level of concern in a timely manner.
- Try to find at-risk students before it becomes a crisis.
- The main idea is to crowdsource information about potential clues about someone’s mental/emotional wellbeing before escalation.
- Our app intends to keep counselors aware of which students may be at risk in hopes of preventing crises.
- School staff and community members observe students under their care and record any troubling observations in our companion mobile application
- Wellness center staff or school counselors track these observations over time on the web dashboard
- These professionals make use of computed "level of concern" in the dashboard to identify at-risk students
- Actions can be planned and outcomes recorded in the portal for future analysis
A docker-compose config and associated Dockerfile has been included to ease deployment to Docker platforms on any host. An nginx reverse proxy is also necessary to route API traffic.
