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PythonStreamlitMachine LearningFraud DetectionAIData Analysis
Digital Wallet & Fraud Investigator
A machine learning-powered fraud investigation platform that analyzes digital wallet transaction data to detect suspicious behavior and potential financial fraud. The system assists users by identifying anomalies, evaluating transaction patterns, and providing AI-supported insights for fraud prevention.
The Challenge
- Processing transaction datasets efficiently for real-time analysis.
- Identifying anomalous transaction patterns with high accuracy.
- Presenting fraud investigation results in a clear and understandable format.
The Solution
Built using Python and Streamlit with machine learning models for anomaly detection and transaction analysis. The application provides interactive visualizations, fraud risk assessments, and AI-assisted insights to support financial investigation workflows.