The Financial Fraud Detection System is a software application designed to detect and prevent fraudulent activities within financial transactions. It employs advanced algorithms and machine learning techniques to analyze patterns, anomalies, and suspicious behavior in financial data.
- Real-time fraud detection (Perodic deployement)
- Machine learning-based anomaly detection (Isolation Forest)
- User-friendly dashboard for monitoring and reporting
- Customizable alerting system
- Integration with existing financial systems
Follow these steps to set up the Financial Fraud Detection System on your local machine or server.
- Python 3.11
- Pip -r install requirement.txt
- Virtual environment (optional but recommended)
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Clone the repository:
git clone https://github.com/your-username/financial-fraud-detection.git cd financial-fraud-detection