FRAUDE - Sistema avançado de deteção de fraudes

This is an innovative project that uses Artificial Intelligence to identify potentially fraudulent transactions in real time.

Through advanced data analysis and machine learning algorithms, the system monitors behavioral patterns, flags suspicious activities, and supports immediate decision-making.

This approach reduces financial losses, increases operational efficiency, and strengthens organizational security mechanisms.

This project also aims to contribute to a safer digital ecosystem by promoting robust, scalable technological solutions adapted to the current challenges of financial fraud.

Team Researchers

Main Researchers

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Miguel Angel Guevara Lopez