AI-Powered Telemedicine Web App for Maternal and Child Health
AfyaMkononi (“Health in Your Hands”) is a comprehensive telemedicine platform that leverages AI to deliver personalized maternal and child healthcare remotely—especially for underserved communities.
- 🌍 Concept Overview
- ✨ Key Features
- 💻 Technical Implementation
- 📂 Project Structure
- 🔌 API Endpoints
- 🤖 AI/ML Integration
- ⚙️ Setup & Installation
- 🤝 Contributing
- 📜 License
- 💡 Need Help?
AfyaMkononi bridges the gap in maternal and child healthcare by providing:
- ✅ AI-assisted virtual consultations with OB-GYNs, pediatricians, and midwives
- ✅ Smart pregnancy & child health tracking with predictive analytics
- ✅ 24/7 AI health assistant for symptom checks and emergency alerts
- ✅ Wearable integration for remote vitals monitoring (BP, glucose, etc.)
- Secure video calls via WebRTC
- AI symptom checker for preliminary triage
- NLP-powered chatbot to address patient queries
- Trimester-based AI insights and risk scoring
- Complication risk assessments
- Personalized wellness and nutrition plans
- Growth and developmental milestone monitoring
- Vaccine reminders and scheduling
- Weight/height percentile tracking
- 24/7 chatbot in English & Swahili
- Medication reminders with drug interaction alerts
- Emergency symptom detection system
- Integration with wearables (e.g. Fitbit)
- AI analysis of vitals recorded at home
- Alerts for anomalies or critical symptoms
| Component | Technology Stack |
|---|---|
| Frontend | React.js, WebRTC, Chart.js |
| Backend | Node.js/Express or Django, PostgreSQL |
| AI/ML Models | TensorFlow, PyTorch, Hugging Face |
| Telemedicine | Agora / Twilio API, WebSockets |
| Security | JWT, OAuth 2.0, HIPAA-compliant encryption |
frontend/
├── public/ # Static assets (HTML, icons)
├── src/
│ ├── components/ # UI Components (Auth, Dashboard)
│ ├── pages/ # Patient & Doctor views
│ ├── services/ # API calls, WebRTC configs
│ └── store/ # Redux state management
backend/
├── controllers/ # Authentication, AI logic, patient records
├── models/ # PostgreSQL/MongoDB schemas
├── routes/ # REST API endpoints
└── services/ # Business logic, AI inference
ai-models/
├── pregnancy-risk/ # Trimester risk prediction
├── symptom-checker/ # NLP-based triage
└── vision/ # Ultrasound & image-based diagnosis
| Endpoint | Method | Description |
|---|---|---|
/api/auth/signup |
POST | Patient/Doctor registration |
/api/ai/symptom-check |
POST | AI triage system |
/api/webrtc/token |
GET | Video call token generation |
/ws/ai-chat |
WS | Real-time chatbot with AI support |
📖 More details in /backend/routes/
- Pregnancy Risk Model – TensorFlow-based trimester complication prediction
- Symptom Checker NLP – Hugging Face for language understanding
- Medical Imaging Analysis – OpenCV + ONNX for ultrasound diagnostics
- Node.js ≥ 16
- Python ≥ 3.8
- PostgreSQL / MongoDB
- Agora/Twilio API keys
# Clone the repository
git clone https://github.com/your-repo/afyamkononi.git
cd afyamkononi
# Install frontend
cd frontend && npm install
# Install backend
cd ../backend && npm install
# Configure environment
cp .env.example .env # Update your keys and DB info
# Run the app
npm run dev # Start frontend
npm start # Start backendWe ❤️ contributions!
- Fork this repo
- Create your feature branch:
git checkout -b feature/my-feature
- Commit and push changes
- Submit a Pull Request with a clear description
MIT © 2024 AfyaMkononi
📧 support@afyamkononi.app
🌐 [Visit Website]https://astounding-capybara-8ef838.netlify.app/
“Because every mother and child deserves accessible, intelligent healthcare—right from the palm of their hand.”
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