AI-Driven Mental Health Check-ins

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  Here is an image of the platform prototype I created!

Inspiration

With rising concerns about stress, anxiety, and burnout in schools, we were inspired to create a solution that supports the mental health of students and educators. Many struggle to access resources due to stigma or lack of availability. Our goal is to provide an accessible, proactive, and impactful tool to promote well-being.

What It Does

Our AI-driven mental health check-in platform enables users to:

• Complete quick and simple daily check-ins.
  
• Receive personalized feedback and recommendations.
  
• Access resources to manage stress and emotional health.
  
• Maintain privacy and confidentiality, ensuring users feel safe.

How We Built It

We used:

• Frontend: HTML and CSS for a responsive, user-friendly interface.
  
• Backend: Flask to handle server-side logic.
  
• AI Framework: OpenAI for generating personalized responses and feedback.

Challenges We Faced

1. Data Privacy: Ensuring user data was stored securely and in compliance with regulations like FERPA.
   
2. AI Design: Building an algorithm sensitive to mental health nuances while avoiding intrusive behavior.
   
3. User Experience: Creating a platform that feels simple and welcoming for students and educators alike.

What We Learned

We gained a deeper understanding of AI ethics, user-centered design, and the critical importance of addressing mental health challenges in education. The feedback from early users helped us refine our approach significantly.

What's Next

• Implementing predictive analytics to identify early warning signs of mental health challenges.
  
• Expanding the platform’s language support for broader accessibility.
  
• Adding a community support feature, enabling peer connections for shared experiences.

Built With

• css
• html
• powerpoint