← All Projects
SymptomWatch
Full-Stack Developer
An AI-assisted mental health monitoring platform enabling daily symptom check-ins with risk scoring for clinical care teams supporting individuals with schizophrenia and related conditions.
Problem
Care teams managing patients with serious mental health conditions lack a simple, structured way to monitor symptom changes between appointments — leading to delayed interventions and preventable crises.
What I Built
- Mobile-friendly daily check-in flow (3–5 minutes, no login required via magic links)
- Risk scoring engine calculating Green / Yellow / Red status from symptom data
- Real-time clinician dashboard with trend visualization and alerts
- AI-generated clinical summaries for care team review
- Automated reminder system via SMS, push notifications, and voice calls (Twilio)
- Exportable reports (PDF/CSV) with audit logs and secure data handling
Outcome
- Functional platform enabling early detection of symptom changes
- Reduced response time for clinical interventions
- Deployed on Vercel with Neon PostgreSQL
Why It Matters
Demonstrates building a real-world healthcare application combining full-stack engineering, AI integration, and domain-sensitive UX design — where the stakes are clinical outcomes, not just user engagement.