How to Use This Implementation Plan with AI Coding Assistants

1. Save this plan as a markdown (.md) file in your project directory.

2. Open the file in your preferred code editor with Cursor or Windsurf AI assistant.

3. Copy and paste the following prompt to your AI assistant:

   “I want to implement this project following the implementation plan in this file. Let’s start with the first unchecked item. For each step: 1) Ask me any clarifying questions if something is unclear before proceeding, 2) Explain what needs to be done, 3) Write the necessary code, 4) Check the box when complete (change - [ ] to - [x]), then 5) Move to the next unchecked item. After completing logical groups of steps, commit the changes with a descriptive message. Let’s begin with step #1.”

4. Track your progress by checking off completed items as you go.

5. Commit regularly after logical groups of steps are completed.

Implementation Plan for Child Health Monitoring Startup

High-level Overview of Project Architecture

The architecture of the health-tracking system comprises a mobile app (built with React Native) that interfaces with wearable health devices to collect and analyze data. The backend (built with Python/Django) registers user information, health data, and provides predictive insights via an AI engine. Data is stored securely in a PostgreSQL database, with real-time notifications sent to users through the mobile app.

Phase 1: Project Setup

• [ ] 1. Create a new Git repository for the project
• [ ] 2. Initialize the project with npm init and create package.json with basic metadata
• [ ] 3. Create .gitignore file with entries for node_modules, .env, etc.
• [ ] 4. Create README.md with project description and setup instructions
• [ ] 5. Create a src/ directory for the source code
• [ ] 6. Create a tests/ directory for test files
• [ ] 7. Install React Native CLI globally: npm install -g react-native-cli
• [ ] 8. Initialize a new React Native project: npx react-native init HealthTracker
• [ ] 9. Navigate to the project directory: cd HealthTracker
• [ ] 10. Install required dependencies for the mobile app: npm install axios react-navigation react-native-gesture-handler
• [ ] 11. Set up the Django backend in a new directory: mkdir backend && cd backend
• [ ] 12. Create a Python virtual environment: python -m venv venv
• [ ] 13. Activate the virtual environment:

  - On Windows: `venv\Scripts\activate`
  - On macOS/Linux: `source venv/bin/activate`

• [ ] 14. Install Django: pip install django djangorestframework
• [ ] 15. Create a new Django project: django-admin startproject health_tracker
• [ ] 16. Create a new Django app for handling health data: cd health_tracker && python manage.py startapp health
• [ ] 17. Install PostgreSQL and a Python connector: pip install psycopg2
• [ ] 18. Set up a PostgreSQL database and user with the proper permissions
• [ ] 19. Configure PostgreSQL in settings.py of the Django project
• [ ] 20. Create an initial migration for the health app models: python manage.py makemigrations health
• [ ] 21. Write unit tests for the project setup
• [ ] 22. Set up GitHub Actions for CI/CD: create .github/workflows/ci.yml

Phase 2: User Authentication Feature

• [ ] 23. Create src/components/auth/ directory for authentication components
• [ ] 24. Create src/components/auth/LoginForm.js component with form skeleton
• [ ] 25. Add email input field to LoginForm component
• [ ] 26. Add password input field to LoginForm component
• [ ] 27. Add submit button to LoginForm component
• [ ] 28. Add form validation for email and password fields
• [ ] 29. Write unit tests to validate email input format
• [ ] 30. Write unit tests to validate password input format
• [ ] 31. Create authentication service in src/services/auth.js for API calls
• [ ] 32. Implement a login API call function in auth service
• [ ] 33. Write unit tests for login API call
• [ ] 34. Connect LoginForm submit handler to auth service
• [ ] 35. Add loading state to LoginForm during submission
• [ ] 36. Add error handling for failed login attempts
• [ ] 37. Write integration tests for the complete login flow

Phase 3: Health Tracking Dashboard Feature

• [ ] 38. Create src/components/dashboard/ directory for dashboard components
• [ ] 39. Create src/components/dashboard/HealthDashboard.js component
• [ ] 40. Fetch health data from the backend API
• [ ] 41. Display health metrics (heart rate, sleep, activity) in a visually appealing manner
• [ ] 42. Write unit tests for fetching health data from the API
• [ ] 43. Write unit tests for rendering health metrics
• [ ] 44. Create notification system for real-time alerts on abnormal health data
• [ ] 45. Implement real-time sockets to receive health updates (using WebSockets)
• [ ] 46. Write integration tests for the notifications feature
• [ ] 47. Create insights component to provide users with actionable advice based on health data
• [ ] 48. Display personalized insights in the health dashboard
• [ ] 49. Write unit tests for insights calculation

Phase 4: User Notification and Alerts System

• [ ] 50. Create src/components/notifications/ directory for notifications
• [ ] 51. Implement a Notifications.js component to display alerts
• [ ] 52. Fetch alerts data from the backend API
• [ ] 53. Allow users to acknowledge and dismiss alerts
• [ ] 54. Write integration tests for the notifications feature
• [ ] 55. Implement push notifications for critical health alerts using a service (e.g., Firebase Cloud Messaging)
• [ ] 56. Write tests for the push notifications feature
• [ ] 57. Develop a settings page to manage alert preferences
• [ ] 58. Write unit tests for managing notification preferences

Phase 5: Community Integration Feature (Deferred for Later Versions)

• [ ] 59. Create src/components/community/ directory for community features
• [ ] 60. Design a basic forum layout for community discussions
• [ ] 61. Implement basic post creation and viewing features
• [ ] 62. Write unit tests for community features

Phase 6: Testing and Deployment

• [ ] 63. Conduct user testing sessions for both the app and wearable device interactions
• [ ] 64. Collect feedback from user tests and iterate based on the findings
• [ ] 65. Deploy the backend to a cloud service (AWS/DigitalOcean)
• [ ] 66. Deploy the mobile app to the App Store and Play Store
• [ ] 67. Prepare marketing materials for outreach
• [ ] 68. Launch the MVP

Phase 7: Post-Launch Monitoring and Iteration

• [ ] 69. Set up analytics to track user behavior and app engagement
• [ ] 70. Monitor user satisfaction through surveys
• [ ] 71. Plan iterations based on feedback and engagement metrics

This implementation plan serves as a comprehensive guide to creating a health-tracking system for children through a seamless integration of mobile application and wearable technology. Each step is meticulously designed to ensure clarity and direct focus on small, actionable tasks.