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This Python script analyzes a batch of financial transaction data to detect potentially fraudulent transactions based on predefined rules. It uses Pandas to process the data and identifies high-value transactions and location anomalies. Check it out on Github. Features Loads transaction data from a CSV file. Detects high-value transactions based on a fixed threshold. Identifies location anomalies based on user’s historical location data. Generates a report summarizing the detected anomalies. Produces alert messages for suspicious activity. Usage Place your transaction data in a CSV file named transactions.csv. Run the script: python fraud_detection.py Future Considerations and Improvements While this script provides a basic framework for fraud detection, it can be significantly improved to reflect real-world scenarios: ...