CarePath

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Inspiration

For many underrepresented and low-income communities, the hardest part of healthcare isn’t treatment, it’s knowing where to go. People often guess between urgent care, ERs, clinics, or doing nothing, which leads to delayed care, unnecessary costs, or worse outcomes.

I wanted to build something that makes healthcare navigation clear, structured, and accessible—especially for people who don’t have easy access to guidance.

What it does

CarePath is a personalized healthcare navigation tool that helps users figure out the right next step based on their age, life stage, and concern.

Instead of a chatbot, CarePath provides an interactive visual care map that shows:

relevant care options (clinics, urgent care, pharmacy, support resources) urgency awareness (when to act immediately vs monitor) cost-aware options clear next steps and questions to ask

Users can:

select a profile (women’s health, pediatrics, college, senior care, etc.) choose an age range pick a concern area (general health, mental health, chronic conditions, etc.) type symptoms directly to jump into a tailored care path explore and compare options using Best Fit, Lowest Cost, and Closest

We’re not diagnosing, we’re helping people find the care they need.

How I built it

CarePath was built as a modern web app with a strong focus on frontend product design and user experience.

Key pieces:

React + Next.js + TypeScript Tailwind CSS for a clean, responsive UI a config-driven data system for profiles, age ranges, and care flows a personalization engine that combines: profile age range concern optional symptom input

This dynamically generates:

the care map recommended resources urgency messaging filters and rankings detail panels and next steps

I also created structured mock datasets so every flow feels complete and demo-ready.

Challenges ran into

The biggest challenge was avoiding the “AI chatbot trap.” Instead of returning text, I redesigned the experience as a visual, interactive system that better reflects how people make decisions.

I also focused on true personalization, ensuring a parent, college student, working adult, and senior all see different, relevant care paths for the same concern.

Finally, I designed carefully around health safety, guiding users without diagnosing or giving unsafe advice.

Accomplishments that I'm proud of

Built a fully interactive care-path system, not just a demo Created life-stage-aware personalization across multiple populations Designed a visual alternative to chatbot-based health tools Implemented symptom-based routing into structured flows Delivered a polished, product-level UI suitable for real-world use

What was learned

I learned that great AI products are driven by experience design, not just intelligence. Structure helps users make decisions better than text alone, and true personalization must shape data, UI, and flow, not just wording.

What's next for CarePath

• Real-time clinic and location integrations
• Live cost estimation and insurance-aware filtering
• Multilingual support
• Accessibility improvements for older users
• Deeper condition-specific care paths
• Exportable care summaries for patients and caregivers

Built With

• css
• javascript
• next.js
• react
• tailwind
• typescript