Architecture

System Components

Component	Technology
Frontend	React-based web application
Backend	Node.js API with GraphQL
Database	PostgreSQL with Redis caching
AI/ML	Python-based model serving
Storage	Google Cloud Storage for files and data
Deployment	Heroku and Google Cloud Platform

Data Flow

┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐
│  Data Sources   │ →   │   Processing    │ →   │   AI Analysis   │
│  APIs, Files,   │     │  ETL Pipelines  │     │   ML Models     │
│   Databases     │     │                 │     │                 │
└─────────────────┘     └─────────────────┘     └─────────────────┘
                                                        │
                                                        ▼
                        ┌─────────────────┐     ┌─────────────────┐
                        │   API Access    │ ←   │  Visualization  │
                        │  REST/GraphQL   │     │   Dashboards    │
                        └─────────────────┘     └─────────────────┘

Pipeline Stages

1. Data Ingestion - Multiple data sources (APIs, files, databases)
2. Processing - ETL pipelines for data transformation
3. AI Analysis - Machine learning models for insights
4. Visualization - Interactive dashboards and reports
5. API Access - RESTful endpoints for integrations

Frontend Architecture

The frontend is built with React and follows a component-based architecture:

• Pages - Route-level components
• Components - Reusable UI elements
• Hooks - Custom React hooks for logic
• Services - API communication layer
• State - Global state management

Backend Architecture

The backend uses Node.js with GraphQL:

• Resolvers - GraphQL query/mutation handlers
• Services - Business logic layer
• Models - Database models and ORM
• Middleware - Authentication, logging, etc.
• Utils - Helper functions and utilities