Health Tech Research
Neuro Health
A research-driven mobile health companion helping Indonesian students understand sodium intake, activity habits, and hypertension literacy through AI coaching.
Year
2026
Status
Research / Private
Platform
iOS & Android (Expo)
Role
Full-stack Mobile Developer
Timeline
2026
Collaboration
Research product team
Tech
Expo Router, React Native, TypeScript, Express, Supabase, MiniMax AI, Zustand, TanStack Query
Project Overview
Neuro Health is a mobile application built for an academic study on AI coaching, sodium diet behavior, physical activity, and hypertension literacy among Indonesian high-school students.
- —Daily health score combines sodium, activity, reminders, and education progress.
- —Students can log food and receive automatic sodium estimates.
- —Physical activity tracking supports step goals and weekly charts.
- —MiniMax-powered AI coach provides personalised guidance within backend rate limits.
The Challenge
Health research software must balance clear behavioral guidance, safe AI responses, privacy-sensitive data handling, and a mobile experience that students can use consistently.
- —Nutrition data must be simple enough for students but structured enough for research.
- —AI coaching needs guardrails, limits, and predictable backend behavior.
- —Education flows must support pre/post-test literacy measurement.
- —Mobile reminders should encourage consistency without overwhelming users.
The Solution
A TypeScript monorepo with an Expo mobile app, Express API, Supabase backend, and MiniMax AI integration for guided health coaching.
- —Expo Router powers the mobile experience with native-feeling navigation.
- —Supabase stores auth, profile, diet, activity, quiz, and education data.
- —Express API centralizes AI coach calls, validation, rate limiting, CORS, and security headers.
- —Zustand and TanStack Query separate local UI state from server state.
Visual Journey
Mobile Health UX Direction
The app needed to translate clinical hypertension literacy goals into a calm, student-friendly mobile flow that supports daily habit formation.
- —Dashboard-first experience for quick daily progress checks.
- —Clear sodium warnings grounded in WHO guidance.
- —Education and quiz flows designed for high-school comprehension.
- —AI coach interactions constrained by rate limits and safety-focused messaging.
Responsive & UX System
Breakpoints
- Mobile-first Expo screens for high-school users
- Charts and dashboards tuned for phone-sized reading
Interactions
- Daily reminders and progress feedback reinforce habit formation
- AI chat flow keeps guidance accessible without leaving the app
Accessibility
- Readable health indicators and warning text
- Simple navigation for repeat daily use
Tech Stack
Mobile
Backend
Data & Auth
AI & Tooling
Infrastructure
Hosting
Private research deployment
Backend
Express TypeScript API
Database
Supabase PostgreSQL
Storage
Supabase-managed data
Monitoring
Backend health check and test suite
Key Features
Daily health dashboard
Shows a student-friendly summary of health score, progress, and reminders.
Turns research indicators into a practical daily check-in loop.
Sodium diet tracking
Students can log food and receive sodium estimates with WHO-based warning thresholds.
Makes diet behavior visible and actionable.
Physical activity monitoring
Pedometer and weekly charts help students understand movement habits over time.
Supports lifestyle intervention beyond nutrition alone.
Hypertension education and quizzes
Articles and pre/post-test quizzes measure and reinforce hypertension literacy.
Connects learning outcomes directly to app usage.
AI coach
MiniMax-powered coach provides personalised guidance through a controlled backend endpoint.
Adds conversational support without exposing AI keys or uncontrolled client calls.
Process
- 01Research mapping
Translate study goals into product flows
Mapped sodium behavior, activity tracking, education content, and literacy measurement into mobile modules.
- Feature map
- Data requirements
- Research-aligned user flows
- 02Mobile and API build
Implement app and backend foundations
Built the Expo app, Express API, Supabase schema, and AI coach integration around typed contracts.
- Mobile screens
- API routes
- Supabase migration
- 03Safety and validation
Harden AI and health-data boundaries
Added validation, rate limits, security middleware, and testable backend boundaries for sensitive flows.
- AI rate limiting
- Health check endpoint
- Backend tests
Deliverables
Expo mobile application
Student-facing mobile app for dashboard, diet, activity, education, quiz, and AI coach flows.
Express backend API
Typed API layer for Supabase data access, validation, security middleware, and MiniMax AI calls.
Supabase schema
Database migration for auth-connected research app entities.
Research-ready app structure
Monorepo layout with backend, mobile app, docs, scripts, and specs.
Outcomes
6 modules
Core app areas
Dashboard, diet, activity, education, quiz, and AI coach.
2000 mg/day
Sodium threshold
WHO-based sodium warning target surfaced in the app.
2 apps
Workspace packages
Expo mobile app plus Express backend.
SEO & Performance
Performance
- Keep mobile screens responsive under repeated tracking flows
- Avoid exposing AI calls from the client
SEO
- Private research product; public write-up focuses on technical and product process
Technical checks
- Backend typecheck and Vitest support API reliability
- Health endpoint validates backend availability
Extended Narrative
Neuro Health turns a hypertension-literacy research program into a student-facing mobile product: daily sodium and activity tracking, structured education and quizzes, and MiniMax-guided coaching behind rate-limited Express APIs and Supabase-backed data.
The app is private to the study—no public repo or live demo—but the case study documents how research constraints (safety, privacy, adolescent UX) shaped the Expo, TypeScript, and backend design choices outlined in the sections above.
Building health-tech or research software?
Neuro Health shows how I approach sensitive mobile workflows, AI integration, and research-aligned product design.