AI-Powered Real Estate Maintenance System

# Mega AI System Architecture

## Overview
Mega AI is a Nigerian real estate maintenance platform that connects property owners with verified service providers. The system is designed with a mobile-first, API-centric architecture to support both mobile applications and web interfaces.

## High-Level Architecture

### Frontend Layer
- **Mobile Apps**: Native iOS and Android applications (future scope)
- **Web Application**: Responsive React-based web app for property owners and service providers
- **Admin Dashboard**: Web-based admin interface for platform management

### API Gateway Layer
- **RESTful API**: Central API serving all frontend applications
- **Authentication Service**: JWT-based authentication and authorization
- **Rate Limiting**: API rate limiting and throttling
- **Request Routing**: Intelligent routing to appropriate microservices

### Core Services Layer
- **User Management Service**: User registration, authentication, profile management
- **Property Management Service**: Property registration, details, maintenance history
- **Service Matching Service**: AI-powered matching of service requests with providers
- **Booking & Scheduling Service**: Calendar management, appointment scheduling
- **Payment Processing Service**: Multi-payment method support, escrow system
- **Communication Service**: In-app messaging, notifications, video calls
- **Review & Rating Service**: Feedback system, quality assurance
- **Admin Service**: Platform administration, analytics, reporting

### AI/ML Layer
- **Matching Algorithm**: AI-powered service provider matching
- **Fraud Detection**: AI-based fraud and anomaly detection
- **Predictive Maintenance**: Maintenance scheduling optimization
- **Natural Language Processing**: Multi-language support, translation

### Data Layer
- **Primary Database**: PostgreSQL for transactional data
- **Document Storage**: MongoDB for unstructured data (images, documents)
- **Cache Layer**: Redis for session management and caching
- **File Storage**: Cloud storage for images, videos, documents

### External Integrations
- **Payment Gateways**: Stripe, Paystack, Flutterwave
- **SMS/Email Services**: Twilio, SendGrid
- **Maps & Location**: Google Maps API
- **Video Calling**: WebRTC, Agora.io
- **Push Notifications**: Firebase Cloud Messaging

## Technical Stack

### Frontend
- **Framework**: React.js with TypeScript
- **Styling**: Tailwind CSS
- **State Management**: Redux Toolkit
- **UI Components**: Custom component library
- **Build Tool**: Vite
- **Testing**: Jest, React Testing Library

### Backend
- **Runtime**: Node.js
- **Framework**: Express.js with TypeScript
- **Database ORM**: Prisma
- **Authentication**: JWT with refresh tokens
- **File Upload**: Multer with cloud storage
- **Real-time**: Socket.io for live updates
- **Testing**: Jest, Supertest

### Database Schema
- **Users**: Property owners, service providers, admins
- **Properties**: Property details, images, maintenance history
- **Services**: Service categories, requests, bookings
- **Payments**: Transactions, escrow, invoices
- **Reviews**: Ratings, feedback, quality scores
- **Messages**: Communication history, attachments

### Infrastructure
- **Hosting**: Cloud platform (AWS/Azure/GCP)
- **Container**: Docker for containerization
- **Orchestration**: Kubernetes for scaling
- **CI/CD**: GitHub Actions
- **Monitoring**: Application performance monitoring
- **Security**: SSL/TLS, data encryption, security headers

## Security Considerations
- End-to-end encryption for sensitive communications
- PCI DSS compliance for payment processing
- Multi-factor authentication for user accounts
- Regular security audits and penetration testing
- Data privacy compliance (GDPR, local regulations)
- Secure API endpoints with proper authentication
- Input validation and sanitization
- Rate limiting to prevent abuse

## Scalability & Performance
- Horizontal scaling with load balancers
- Database read replicas for improved performance
- CDN for static asset delivery
- Caching strategies for frequently accessed data
- Asynchronous processing for heavy operations
- Image optimization and compression
- Progressive loading for mobile optimization
- Offline capability for core features

## Deployment Strategy
- Containerized deployment with Docker
- Blue-green deployment for zero downtime
- Environment-specific configurations
- Automated testing and deployment pipelines
- Database migration strategies
- Rollback procedures for failed deployments
- Health checks and monitoring
- Auto-scaling based on demand