Since 2005, there has been an 83% increase in the suicide rates in the black community and despite this alarming statistic, black people don't seek mental support because of the ingrained stigmas surrounding mental health. To corroborate this, research shows that 73% of African Americas believe mental health issues are a sign of weakness.
Accessing mental health services is daunting and not encouraging for a black person.
What it does
As a team, we have developed SafeSpace, which is essentially a three-pronged approach to solving the problem.
- SafeSpace provides a platform for people to connect with counselors
- Safespace provides a community for people to talk through and share whatever things they might e going through
- SafeSpace provides an accurate emotional analysis of patients during therapy sessions using emotion recognition API
How we built it
- Android in Java for the mobile application
- Face Recognition API for emotion analysis
- React JS for website bootstrapping
- Firebase for backend hosting
Challenges we ran into
- Setting up the FaceAPI to recognize and quantify emotions
- Visualizing the data gotten from the FaceAPI
- Rendering the application
Accomplishments that we're proud of
- Utilizing FaceAPI to accurately detect patients' emotions
- Clean, modern, and user-friendly interface
What we learned
- Using APIs
- Firebase Hosting
- Bootstrapping a website
- Mobile application rendering
What's next for SafeSpace
Adding other ways to get data that could be beneficial to making the emotional analysis more robust. Data to be collected would include spending details using Fiserv API, heartbeat motions using Fitbits or other wearables.