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

• https://jeremiahcheng1206.github.io/AML-Monitoring-Engine/

Software Classification

• Category: Application Software