Cash Flow Anomaly Detection: AI Models for Identifying Undeclared Income in SME Tax Returns

Key Points

• The research aims to develop AI models to detect anomalies in cash flow and identify undeclared income in SMEs' tax returns.
• Utilized various AI models for anomaly detection in cash flow data
• Analyzed tax returns from small and medium enterprises
• Implemented machine learning techniques to improve accuracy of identifying undeclared income.
• AI models successfully identified a significant percentage of undeclared income in tax returns
• Detection accuracy improved with advanced machine learning algorithms
• Results suggest potential for enhanced compliance and fraud detection in tax administration.