06 Platform Architecture

Technical Architecture Overview

ProSignal AI is built on a modern, scalable architecture that combines Web2 performance with Web3 capabilities. The platform leverages cloud-native technologies, advanced AI models, and blockchain infrastructure to deliver a seamless user experience while maintaining decentralization principles.

System Architecture Diagram

graph TB
    subgraph "User Interface Layer"
        A[React Frontend] --> B[Web3 Wallet Integration]
        A --> C[Real-time Updates]
        A --> D[Responsive Design]
    end
    
    subgraph "API Gateway & Load Balancing"
        E[Express.js Server] --> F[Authentication Middleware]
        E --> G[Rate Limiting]
        E --> H[Request Routing]
    end
    
    subgraph "Core Services"
        I[Prediction Engine] --> J[Proprietary AI Models]
        K[Sports Data Processor] --> L[API-Football]
        M[User Management] --> N[Web3 Auth]
        O[Payment Processor] --> P[Blockchain Verifier]
        Q[Notification Service] --> R[Email/Telegram]
    end
    
    subgraph "Data Storage Layer"
        S[PostgreSQL Primary] --> T[User Data]
        S --> U[Predictions Cache]
        S --> V[Sports Statistics]
        W[Redis Cache] --> X[Session Data]
        W --> Y[Real-time Cache]
    end
    
    subgraph "Blockchain Infrastructure"
        Z[Base Network] --> AA[PSAI Token Contract]
        Z --> AB[Transaction Verification]
        Z --> AC[Wallet Authentication]
    end
    
    subgraph "External Integrations"
        AD[API-Football] --> AE[Live Sports Data]
        AF[AI Services] --> AG[Machine Learning Models]
        AH[Base RPC] --> AI[Blockchain Data]
        AJ[Email Service] --> AK[SMTP Delivery]
    end
    
    A --> E
    E --> I
    E --> K
    E --> M
    E --> O
    I --> S
    K --> S
    M --> S
    O --> S
    N --> Z
    P --> Z
    I --> AF
    K --> AD
    Q --> AJ

Technology Stack Deep Dive

Frontend Architecture

React 18 with Modern Patterns

Concurrent Features: Suspense, transitions, and automatic batching
Component Architecture: Reusable, composable UI components
State Management: React Query for server state, Context for global state
Type Safety: Full TypeScript integration with strict type checking

Web3 Integration Stack

// Core Web3 Libraries
- Wagmi: React hooks for Ethereum interactions
- Viem: TypeScript-first Ethereum library
- RainbowKit: Wallet connection UI components
- Web3 Auth: Secure wallet-based authentication

// Supported Wallets
- MetaMask: Browser extension and mobile
- WalletConnect: Universal wallet protocol
- Coinbase Wallet: Native and browser extension
- Trust Wallet: Mobile-first wallet solution

Performance Optimizations

Code Splitting: Route-based and component-based splitting
Lazy Loading: Dynamic imports for non-critical components
Image Optimization: WebP format with fallbacks
Bundle Analysis: Webpack bundle analyzer integration

Backend Architecture

Node.js Microservices Pattern

// Service Architecture
├── Authentication Service
│   ├── Web3 authentication message generation
│   ├── JWT token management
│   └── 2FA implementation
├── Prediction Service
│   ├── AI model integration
│   ├── Sports data analysis
│   └── Confidence scoring
├── Payment Service
│   ├── Transaction verification
│   ├── Subscription management
│   └── Referral processing
└── Notification Service
    ├── Email delivery
    ├── Telegram integration
    └── Push notifications

API Design Principles

RESTful Architecture: Resource-based URL design
OpenAPI Specification: Auto-generated documentation
Rate Limiting: Per-user and per-endpoint limits
Caching Strategy: Multi-layer caching implementation

Database Architecture

-- Primary Database: PostgreSQL 15+
-- Features Used:
- JSONB for flexible data storage
- Partial indexes for performance
- Row-level security (future)
- Streaming replication (production)

-- Cache Layer: Redis-compatible
-- Use Cases:
- Session storage
- API response caching
- Real-time data buffering
- Rate limiting counters

AI Prediction Engine

Advanced AI Integration

Data Aggregation

Team statistics collection
Player performance analysis
Historical match data
Real-time market conditions

Context Preparation

Structured prompt generation
Competition-specific analysis
Form and H2H integration
Market odds incorporation

AI Processing

AI model processing
JSON response parsing
Confidence score validation
Multi-market predictions

Result Processing

Database storage
Cache invalidation
Real-time updates

Prediction Quality Assurance

Input Validation: Comprehensive data quality checks
Output Validation: Confidence score and format verification
Fallback Mechanisms: Default predictions for API failures
Performance Monitoring: Accuracy tracking and model evaluation

Blockchain Integration

Base Network Architecture

// Smart Contract Stack
├── PSAI Token Contract (ERC-20)
│   ├── Standard transfer functionality
│   ├── Airdrop distribution mechanism
│   ├── Transfer restrictions for airdrop recipients
│   └── Owner-controlled minting (one-time)
├── Future Contracts
│   ├── Staking contract for yield generation
│   ├── Governance contract for voting
│   └── Prediction pools for token staking

Transaction Verification System

Transaction Receipt

User submits transaction hash
Frontend validates format
Backend queues verification

On-Chain Verification

RPC call to Base network
Transaction details extraction
Amount and recipient validation
Block confirmation check

Business Logic

Duplicate transaction prevention
Subscription activation
Referral reward processing
Database state updates

Data Architecture

Database Schema Design

Core Entity Relationships

erDiagram
    USERS ||--o{ SUBSCRIPTIONS : has
    USERS ||--o{ PREDICTIONS : views
    USERS ||--o{ REFERRALS : makes
    SUBSCRIPTIONS ||--o{ REFERRALS : generates
    FIXTURES ||--o{ PREDICTIONS : has
    LEAGUES ||--o{ FIXTURES : contains
    TEAMS ||--o{ FIXTURES : participates
    USERS ||--o{ AIRDROP_PARTICIPANTS : joins
    AIRDROP_CAMPAIGNS ||--o{ AIRDROP_PARTICIPANTS : includes

Performance Optimization

Indexing Strategy: Composite indexes for common query patterns
Partitioning: Time-based partitioning for large tables
Materialized Views: Pre-computed aggregations for analytics
Connection Pooling: Efficient database connection management

Caching Architecture

Multi-Layer Caching Strategy

Browser Cache (Frontend)

Static assets (24h)
API responses (5min)
User preferences (session)

CDN Cache (Global)

Static content delivery
API response caching
Geographic optimization

Application Cache (Backend)

Database query results
External API responses
Computed predictions
User session data

Database Cache (PostgreSQL)

Query plan caching
Buffer pool optimization
Index caching

Security Architecture

Authentication & Authorization

Multi-Factor Security Model

Wallet Authentication (Primary)

Web3 message signing
Cryptographic verification
Nonce-based replay protection

Two-Factor Authentication (Optional)

TOTP implementation
Backup code generation
Recovery mechanisms

Session Management

JWT token validation
Refresh token rotation
Session invalidation

Role-Based Access Control

User permissions
Admin privileges
Feature flags

Data Protection

Comprehensive Security Measures

Input Validation: Zod schema validation on all endpoints
SQL Injection Prevention: Parameterized queries via ORM
XSS Protection: Content Security Policy implementation
CSRF Protection: SameSite cookie configuration
Rate Limiting: Distributed rate limiting with Redis
Encryption: TLS 1.3 for all communications

Blockchain Security

Smart Contract Security

// Security Features
├── Access Control
│   ├── Ownable pattern implementation
│   ├── Multi-signature requirements (future)
│   └── Time-locked operations (future)
├── Transfer Restrictions
│   ├── Airdrop recipient limitations
│   ├── Vesting schedule enforcement
│   └── Emergency pause functionality
└── Audit Trail
    ├── Event emission for all operations
    ├── Transparent transaction history
    └── Immutable record keeping

Scalability & Performance

Horizontal Scaling Strategy

Microservices Architecture

# Service Scaling Configuration
services:
  api-gateway:
    replicas: 3
    resources:
      cpu: "500m"
      memory: "1Gi"
  
  prediction-service:
    replicas: 2
    resources:
      cpu: "1000m"
      memory: "2Gi"
  
  sports-data-service:
    replicas: 2
    resources:
      cpu: "500m"
      memory: "1Gi"
  
  notification-service:
    replicas: 1
    resources:
      cpu: "250m"
      memory: "512Mi"

Database Scaling

Read Replicas: Multiple read-only database instances
Connection Pooling: PgBouncer for connection management
Query Optimization: Automated query performance monitoring
Sharding Strategy: User-based sharding for future growth

Performance Monitoring

Observability Stack

// Monitoring Components
├── Application Performance Monitoring
│   ├── Response time tracking
│   ├── Error rate monitoring
│   └── Throughput analysis
├── Infrastructure Monitoring
│   ├── CPU and memory usage
│   ├── Network performance
│   └── Disk I/O metrics
├── Business Metrics
│   ├── User engagement tracking
│   ├── Prediction accuracy monitoring
│   └── Revenue analytics
└── Security Monitoring
    ├── Failed authentication attempts
    ├── Suspicious activity detection
    └── Rate limiting violations

Deployment Architecture

Cloud-Native Infrastructure

Container Orchestration

# Multi-stage build process
FROM node:18-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production

FROM node:18-alpine AS runtime
WORKDIR /app
COPY --from=builder /app/node_modules ./node_modules
COPY . .
EXPOSE 8500
CMD ["npm", "start"]

Infrastructure as Code

Terraform: Infrastructure provisioning and management
Kubernetes: Container orchestration and scaling
Helm Charts: Application deployment templates
ArgoCD: GitOps-based continuous deployment

Environment Management

Multi-Environment Strategy

# Environment Configuration
environments:
  development:
    database: "postgresql://localhost:5432/prosignal_dev"
    redis: "redis://localhost:6379"
    ai_service: "development-key"
    
  staging:
    database: "postgresql://staging-db:5432/prosignal"
    redis: "redis://staging-cache:6379"
    ai_service: "staging-key"
    
  production:
    database: "postgresql://prod-db:5432/prosignal"
    redis: "redis://prod-cache:6379"
    ai_service: "production-key"

Integration Architecture

External Service Integration

API Integration Patterns

// Service Integration Strategy
├── Sports Data Integration
│   ├── API-Football primary source
│   ├── Backup data providers
│   ├── Real-time webhook processing
│   └── Data quality validation
├── AI Model Integration
│   ├── Proprietary AI primary models
│   ├── Custom fine-tuning (future)
│   ├── Fallback prediction models
│   └── Response quality assurance
└── Blockchain Integration
    ├── Base network RPC calls
    ├── Transaction monitoring
    ├── Event log processing
    └── Smart contract interactions

Error Handling & Resilience

Circuit Breaker Pattern: Prevent cascade failures
Retry Logic: Exponential backoff for transient failures
Graceful Degradation: Fallback mechanisms for service outages
Health Checks: Automated service health monitoring

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