mamaCare

Inspiration

As a new father and healthcare software developer in Kenya, I watched my wife navigate pregnancy with confusing ultrasound reports, forgotten medication schedules, and anxiety between monthly clinic visits. Having deployed OpenMRS systems serving 100,000+ patients and mChanjo immunization tracking across 50+ Kenyan counties, I've seen how 342 mothers die per 100,000 births in Kenya - yet 70% of maternal complications are preventable with early detection. I knew AI and mobile technology could bridge this gap.

What it does

MamaCare Butler is an AI-powered maternal health companion that provides:

Weekly AI Health Check-ins: Gemini AI analyzes symptoms and vital signs to detect pre-eclampsia, gestational diabetes, and other high-risk conditions with personalized risk assessments
Ultrasound Translator: Gemini Vision extracts measurements from ultrasound images and explains findings in simple language, making medical reports accessible
Smart Kick Counter: AI-powered fetal movement tracking with pattern analysis alerts mothers to potential distress
Medication Tracker: Comprehensive medication management with scheduled reminders for prenatal vitamins, iron tablets, and prescriptions
Emergency SOS: One-tap SMS alerts with GPS location sent to emergency contacts and local hospitals
Health Trends Dashboard: Visual charts tracking blood pressure, weight, and fetal movements with period filtering (1 week to full pregnancy)
Personalized Profile: Complete pregnancy tracking with due date countdown, week-by-week progress, and emergency contact management ## How we built it Frontend:
Flutter 3.5+ for cross-platform mobile (Android/iOS)
Material 3 design with responsive layouts using flutter_screenutil
Custom chart visualizations with fl_chart library
Real-time notifications using flutter_local_notifications

Backend:

Serverpod 3.1.1 with full REST API architecture
PostgreSQL database for secure health data storage

AI Integration:

Google Gemini 1.5 Flash for health risk assessment
Gemini Vision API for ultrasound image analysis and measurement extraction
AI-powered pattern recognition for kick counter anomaly detection
Natural language health advice generation

Challenges we ran into

AI Medical Safety: Balancing AI predictions with medical disclaimers - ensuring Gemini provides helpful insights without replacing doctors
Scheduled Notifications: Android emulator limitations with exact alarm scheduling required creative workarounds and real device testing
Database Migrations: Managing complex health data schema with Serverpod migrations and PostgreSQL compatibility
Real-time Chart Updates: Building responsive health trend visualizations with period filtering and empty state handling
Emergency Services Integration: Implementing reliable SMS and GPS functionality across different Android versions
Gemini API Integration: Structuring prompts for consistent, medically-relevant responses from Gemini

Accomplishments that we're proud of

Fully Functional MVP: 10+ major features working end-to-end with real AI integration
Gemini AI Excellence: Successfully integrated both Gemini text and vision models for health assessments and ultrasound analysis
Complete Health Ecosystem: Built comprehensive maternal health tracking - from daily medications to emergency SOS
Production-Ready Backend: Robust Serverpod architecture with 6 REST endpoints, proper error handling, and database migrations
Professional UI/UX: Clean, intuitive interface with responsive design, loading states, and smooth navigation
Kenya-Specific Optimization: Timezone handling, local emergency numbers, and SMS integration for African context
Real Healthcare Experience: Leveraged 5+ years of health tech experience deploying systems serving 100,000+ patients