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PayNext Documentation Index

PayNext is a robust, cloud-native payment processing platform built with microservices architecture, offering secure transaction processing, AI-powered fraud detection, and comprehensive financial analytics. The platform supports multiple payment methods, currencies, and provides rich APIs for developers.

Quick Start

Get started with PayNext in 3 simple steps:

  1. Clone & Setup: git clone https://github.com/quantsingularity/PayNext.git && cd PayNext
  2. Start Services: docker-compose up -d (for Docker) or ./scripts/paynext.sh build && ./scripts/paynext.sh start (for local)
  3. Access Dashboard: Open http://localhost:3000 in your browser

Table of Contents

Getting Started

Development

Examples

Operations

Project Structure

PayNext/
├── backend/              # Spring Boot microservices
│   ├── eureka-server/   # Service discovery
│   ├── api-gateway/     # API gateway with routing
│   ├── user-service/    # User management
│   ├── payment-service/ # Payment processing
│   ├── notification-service/  # Notifications
│   └── fraud-detection-service/  # Fraud detection
├── ml_services/         # Python ML services
│   ├── fraud/          # Fraud detection models
│   ├── credit_scoring/ # Credit scoring
│   ├── churn/          # Churn prediction
│   ├── recommendation/ # Recommendation engine
│   └── categorization/ # Transaction categorization
├── web-frontend/       # React web dashboard
├── mobile-frontend/    # Next.js mobile app
├── infrastructure/     # Terraform & Kubernetes configs
└── scripts/           # Automation scripts

Key Features

Category Features
Payments Multi-currency, recurring billing, split payments, payment links
Security PCI DSS compliance, AI fraud detection, tokenization, 2FA, end-to-end encryption
ML/AI Fraud detection, credit scoring, churn prediction, transaction categorization
Analytics Real-time dashboards, custom reports, data export (CSV/PDF/Excel)
DevOps Docker/Kubernetes deployment, CI/CD pipelines, monitoring with Prometheus/Grafana

Technology Stack

  • Backend: Java 17, Spring Boot 3.2.0, Spring Cloud 2023.0.0
  • Databases: MySQL, MongoDB, Redis
  • Messaging: RabbitMQ, Kafka
  • Frontend: React 18, TypeScript, Material-UI, Next.js 15
  • ML Services: Python, FastAPI, scikit-learn, TensorFlow
  • Infrastructure: Docker, Kubernetes, Terraform, Helm

Support & Resources