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

1

Data Aggregation

• Team statistics collection

• Player performance analysis

• Historical match data

• Real-time market conditions

2

Context Preparation

• Structured prompt generation

• Competition-specific analysis

• Form and H2H integration

• Market odds incorporation

3

AI Processing

• AI model processing

• JSON response parsing

• Confidence score validation

• Multi-market predictions

4

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

1

Transaction Receipt

• User submits transaction hash

• Frontend validates format

• Backend queues verification

2

On-Chain Verification

• RPC call to Base network

• Transaction details extraction

• Amount and recipient validation

• Block confirmation check

3

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

1

Browser Cache (Frontend)

• Static assets (24h)

• API responses (5min)

• User preferences (session)

2

CDN Cache (Global)

• Static content delivery

• API response caching

• Geographic optimization

3

Application Cache (Backend)

• Database query results

• External API responses

• Computed predictions

• User session data

4

Database Cache (PostgreSQL)

• Query plan caching

• Buffer pool optimization

• Index caching

Security Architecture

Authentication & Authorization

Multi-Factor Security Model

1

Wallet Authentication (Primary)

• Web3 message signing

• Cryptographic verification

• Nonce-based replay protection

2

Two-Factor Authentication (Optional)

• TOTP implementation

• Backup code generation

• Recovery mechanisms

3

Session Management

• JWT token validation

• Refresh token rotation

• Session invalidation

4

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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