MindSafe AI

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  MindSafe AI

Inspiration

After the pandemic, the planet faced a second epidemic, this time centered around mental health. The lingering effects are evident in our daily lives, with rising cases of anxiety and depression, causing widespread instability. My hometown, Medellin, has not been immune to the mental health challenges. A concerning example is the surge in suicides at the city's universities. Historically prone to pressure, post-pandemic, students exhibit reduced resilience. MindSafe AI aims to be a link, lightening the mental health burden on students.

What it does

MindSafe AI poses 8 simple questions to users and through natural language processing, the model clasify the answers and determines if the user's mental health is currently stable, going through a rough patch or at risk of harm.

How we built it

Using AWS partyrock app and adjusting it's input fields and models.

Challenges we ran into

Making the right questions was certainly the biggest challenge, we consulted with several local psychologists that shared with us the questions they asked on a daily basis to their pacients to make the necessary assesments, we made the best effort to translate that into the app.

Accomplishments that we're proud of

Creating an app that can make an immediate impact in our campus. Mental health challenges tend to be quick and unnanounced, our hope is that MindSafe's quick response can help to accelerate the process of professional attention and diagnosis.

What we learned

Making a difference is a easy as putting yourself to work for something you care.

What's next for MindSafe AI

Our plan is for MindSafe to be the first line of attention for mental health related inquiries in our university. We want MindSafe to help organize the scheduling and prioritization of therapists appointments inside the university, to help the health services take care of the severe cases first followed by the more stable pacients.

Built With

• amazon-web-services
• partyrock