/AML-Monitoring-Engine

AML end to end system

Primary LanguageJava

AML-Monitoring-Engine

General Information

  • Full Software Name: Intelligent Financial Transaction Anti-Money Laundering Identification Tool Platform
  • Version: V1.0

Development Environment

  • Development Hardware Environment:
    • CPU: Intel(R) Core(TM) i5-4200H, 2.8GHz
    • RAM: 8GB
    • Hard Drive: 1TB
  • Development Operating System: Windows 11 Enterprise Edition
  • Development Tools: IntelliJ IDEA V2023
  • Programming Language: Java
  • Source Code Size: 25,466 lines

Runtime Environment

  • Hardware Requirements:
    • Quad-core CPU
    • 8GB RAM
    • Integrated Graphics
    • Gigabit Network
    • SSD with 500GB or more
  • Operating System: Anolis OS
  • Supporting Software:
    • JDK 9 or above
    • MySQL 8.0
    • Apache Tomcat
    • Redis

Purpose of Development

The primary goal is to enhance the efficiency of anti-money laundering (AML) efforts in financial transactions, reduce risks, and ensure the security of funds.

Target Domain/Industry

  • Domain: Financial Technology (FinTech)

Key Features

  1. Real-Time Monitoring:
    Utilizes big data, machine learning, and artificial intelligence to analyze large volumes of financial transaction data in real-time.
  2. Suspicious Pattern Detection:
    Automatically identifies unusual patterns, such as large fund transfers or frequent cross-border transactions.
  3. Model Optimization:
    Continuously improves detection accuracy using deep learning algorithms.
  4. Risk Alert Mechanism:
    Initiates investigation procedures immediately upon detecting potential money laundering activities.
  5. Data Integration and Sharing:
    Enables cross-bank and cross-border data sharing to strengthen institutional collaboration.
  6. Compliance Support:
    Provides compliance reports and audit tools to meet international AML standards.
  7. Efficiency Improvement:
    Enhances precision and effectiveness of AML processes to prevent financial crimes and ensure system stability.

Technical Characteristics

  • Type: Big Data Software
  • Key Features:
    • Employs AI deep learning and big data analysis for real-time monitoring of financial transactions.
    • Supports anomaly detection and risk level evaluation.
    • Facilitates multi-dimensional data integration and automated workflows to improve risk control efficiency.
    • Offers visualized reports for clear understanding of risk scenarios, enabling precise and efficient risk management.

Websites

Software Classification

  • Category: Application Software