AI
AI Fraud Detection System
FinSecure Bank
The problem
FinSecure Bank was suffering significant losses due to banking fraud. Their traditional detection system had too high a false positive rate.
Our solution
Implementation of an ensemble model combining Random Forest, Gradient Boosting and an LSTM neural network for real-time detection.
Results
87% reduction in fraud, false positives reduced by 65%, savings of €2.3M in the first year.
Technologies used
PythonTensorFlowScikit-learnApache KafkaPostgreSQLDockerKubernetes
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