MindMate

Inspiration

The rise in student mental health challenges—anxiety, burnout, digital fatigue—has exposed the gap between need and access to support. Many students hesitate to seek help due to stigma, time, or uncertainty. Meanwhile, healthcare professionals lack a real-time, data-driven tool to track early signs of mental strain. We envisioned MindMate to bridge this gap — a safe space where students can check in, express their emotions, and receive timely support while enabling mental health professionals to intervene early and effectively.

What it does

MindMate is a 360° AI-powered student wellness companion, combining emotional journaling, personalized recommendations, and clinical monitoring through:

👩‍🎓 For Students:

Daily mood check-ins with visual and emotional feedback AI-powered journaling with insights and affirmations Mood-based music therapy suggestions Self-care & diet recommendations based on emotional state AI chat assistant for guidance & wellness suggestions Auto-scheduling mental health consultations

🩺 For Healthcare Professionals:

Doctor dashboard with patient management Risk analysis based on mood logs & emotional triggers Real-time mood trend graphs and health indicators Appointment scheduler with video integration Secure chat with patients Clinical recommendation generation

How we built it

React + Tailwind CSS (Responsive Web App) Framer Motion for UI animations Role-based routing for Student vs Doctor dashboards Amazon Bedrock (Claude) – Journaling insights, affirmations, AI assistant AWS Comprehend – Mood & sentiment detection from journal entries Amazon Polly – Optional audio affirmations for accessibility AWS Cognito – Secure user authentication Firebase + MongoDB Atlas – User, mood, and doctor data storage

Challenges we ran into

Handling dual user types with completely different dashboards Designing mood tracking logic to avoid daily duplication while maintaining clarity Integrating multiple AI workflows with fallback mechanisms Ensuring real-time doctor visibility without breaching privacy Making the UI both clinically professional and emotionally warm

Accomplishments that we're proud of

Built a full role-based system with clean navigation and working routing Real-time patient-doctor feedback loop using AI-generated analysis Dynamic and accurate mood tracking with individual trends Designed a fully professional doctor dashboard that feels like a real product Integrated Amazon Bedrock and Comprehend to power emotional understanding Created a beautiful and functional responsive UI inspired by medical-grade tools

What we learned

How to build production-level agentic AI workflows with role-based logic Working with AWS Bedrock and Comprehend in a secure architecture

What's next for MindMate

Multi-language support for emotional inclusivity Integration with wearable device APIs for biometric mood tracking Native mobile apps (Flutter) for students without web access Verified therapist onboarding and scheduling system Real-time insights dashboard for universities and wellness centers HIPAA/GDPR certifications for institutional deployment

Built With

• amazon-web-services
• charts.js
• firebase
• javascript
• node.js
• python
• react
• tailwindcss
• typescript