Welcome to the Financial Fraud Risk Engine. This application helps you detect potential fraud in financial transactions. It uses advanced techniques to analyze data and identify risk. Designed for users with no technical background, this tool provides a user-friendly way to manage fraud detection.
- Data Pipelines: Seamlessly process financial data.
- Cost-Sensitive Machine Learning Modeling: Prioritize important predictions to reduce fraud losses.
- Explainability with SHAP: Understand how predictions are made.
- Threshold Optimization: Fine-tune settings to enhance detection accuracy.
- Batch Scoring: Analyze multiple transactions at once.
- Interactive Streamlit Dashboard: Visualize results in an easy-to-use interface.
To run the Financial Fraud Risk Engine, your system should meet the following requirements:
- Operating System: Windows 10, macOS, or Linux
- RAM: At least 4 GB
- Disk Space: Minimum of 500 MB available
- Python: Version 3.7 or later (if you're running it locally)
To get started, visit the Releases page to download the Financial Fraud Risk Engine:
- Visit the Releases Page: Click the link above.
- Select the Latest Version: Look for the most recent release.
- Download the File: Choose the file that matches your operating system.
- Run the Application: Locate the downloaded file in your system and double-click to start.
- Open the Application: Double-click the icon of the Financial Fraud Risk Engine.
- Upload Your Data: Use the provided interface to upload your financial transactions. Ensure your data is in CSV format for easy processing.
- Set Parameters: Adjust any settings as needed. You can customize how sensitive the fraud detection should be.
- Run the Analysis: Click the "Analyze" button to begin. The engine will process your data and display the results.
- Review Results: Check the dashboard for insights about potential fraud risks.
The application includes a dashboard powered by Streamlit, allowing you to visualize detection results. You will see:
- Graphs: Understand trends in your data.
- Metrics: Get detailed reports on the analysis.
- Risk Scores: View scores for each transaction, helping you focus on the most critical areas.
The Financial Fraud Risk Engine supports various topics in the field of fraud detection:
- Anomaly Detection
- Credit Card Fraud Analysis
- Imbalanced Data Handling
- Explainable AI
- Risk Analysis Using Machine Learning Techniques
If you encounter any issues while using the Financial Fraud Risk Engine, please reach out via the repository's issue tracker. We aim to assist you promptly.
- Documentation: Read the Documentation
- Community Forum: Join discussions with other users for tips and best practices.
Remember, your feedback is valuable. It helps us improve the Financial Fraud Risk Engine. Enjoy using the application to keep your financial data safe!