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Fighting Money Laundering Using Machine Learning | Final Year IEEE Project
📌 Project Title: Fighting Money Laundering Using Machine Learning
🎓 Best For: B.Tech | M.Tech | MCA | BCA | B.Sc | M.Sc | Final Year Students
🧾 IEEE Based Project - 2025
🤖 Technologies Used: Machine Learning, AI, Python, Pandas, Scikit-learn, Data Analytics

🔍 Project Overview:
Money laundering is a global financial crime that threatens economic systems and national security. This project proposes a machine learning-based solution to detect suspicious transactions and potential laundering patterns in financial datasets. Using supervised learning algorithms, the model classifies transactions as legitimate or suspicious, helping banks and regulatory authorities fight fraud effectively.

💡 Key Highlights:
✅ Real-time Transaction Monitoring
✅ Suspicious Activity Detection
✅ Feature Engineering for Financial Data
✅ ML Algorithms (Logistic Regression, Random Forest, XGBoost, etc.)
✅ Visualization of Suspicious Patterns
✅ Scalable and Interpretable ML Pipeline
✅ IEEE Format Report Included

📦 What You’ll Get:
✅ Complete Python Source Code
✅ Financial Dataset (Synthetic/Real)
✅ Project Documentation (IEEE Format)
✅ PowerPoint Presentation (PPT)
✅ Data Preprocessing & Model Training Files
✅ Flowchart, Architecture Diagram, Algorithm Details
✅ Setup Guide + Execution Instructions

🎯 Use Cases:

Banking Sector Compliance Tools

Fraud Detection in FinTech

Government Anti-Money Laundering Systems

AI Research in Financial Security

📩 Need the Full Project?
Comment below or contact us to get the full package: Source Code + Report + PPT + Dataset 📁
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