Inspiration

In India and many developing nations, people routinely turn to Google to self-diagnose symptoms — often getting inaccurate or anxiety-inducing results. I wanted to build something that gives structured, clinically-backed guidance to anyone with a browser, regardless of location, income, or insurance status. That's the gap SymptomFlow fills.

What It Does

SymptomFlow is an interactive symptom triage web app. You tap a body region, select your symptoms, answer a short yes/no decision tree, and receive one of three verdicts:

  • 🔴 Go to the ER Now
  • 🟡 See a Doctor Soon
  • 🟢 Monitor at Home

Every verdict includes plain-language reasoning and clear next steps. No sign-up. No cost. No app install required.

How I Built It

  • React 18 + TypeScript + Vite — component architecture with full type safety
  • Zustand — lightweight in-memory session state, no backend needed
  • Framer Motion + GSAP — page transitions and animated card stacks
  • Tailwind CSS v3 — glassmorphic design system with custom tokens
  • React Router v6 — client-side routing with shareable result URLs encoded as query parameters
  • Vercel — deployment with SPA routing rewrites

All triage logic lives in a static TypeScript decision tree built on 2024 AHA First Aid Guidelines, the Canadian Triage and Acuity Scale (CTAS), the Manchester Triage System (MTS), and GP Triage AU flowcharts.

Challenges

  • Building a branching decision tree that covers 5 body regions with clinically accurate yes/no flows without a backend or ML model
  • Encoding full triage results into URL query parameters for shareable links that survive cold loads
  • Keeping the bundle size manageable with GSAP, Framer Motion, and Three.js all in the same project

SDG 3 Alignment

SymptomFlow directly addresses two targets:

  • Target 3.8 — Universal Health Coverage: structured triage for anyone who cannot immediately access a healthcare provider
  • Target 3.d — Health Security: reduces unnecessary ER visits while ensuring genuine emergencies are not ignored

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