1 in 5 seekers of mental health services in Philadelphia do not receive the care they are seeking (slightly worse than the national average). Our app aims to increase accessibility of mental health services to increase the positive outcomes associated with this community. We wanted to explore the application of AI in assessing and determining the level of care needed by a person in crisis.
What it does
Our app receives information from user input and displays appropriate resources. The first assessment determines if the user is looking for services for themselves or for someone else. After this determination, users are given choices to help them determine the type of services they are seeking. Some of the outcomes include: connections to hotlines, outpatient providers, and inpatient facilities. Each of the providers in our data set have been evaluated to meet certain criteria. They must be board certified as well as accepting new patients. Our data set was built from information gathered from the Philadelphia Division of Community Behavioral Health's directory of providers. Users also have the option to submit a vocal recording describing their emotional state. From the recording, a sentiment level is determined by AI which assesses mood instability. This sentiment level is then used to assess the level of care required by an individual in crisis.
How we built it
Challenges we ran into
Integrating the applications Staying awake and alert Centering elements with CSS
Accomplishments that we're proud of
Incorporating AI into our application with Google Cloud APIs Building a dynamic website Pair programming with GitHub Bringing awareness to mental health
What we learned
What's next for Mind Hub
Increasing the amount of providers in our dataset Refining the application of AI Presenting more crisis intervention resources Creating a location based system that displays a map of providers Implementing a search function