AI-Powered AML & Fraud Detection System by stephen hawking's

The Power of Ensemble Architecture: Relying on a single model is incredibly risky in fraud detection. By forcing a Deep Learning Autoencoder (acting unsupervised) to essentially "fact-check" an XGBoost model (acting supervised), our overall system became highly resilient against new, unseen attack vectors. Explainable AI is the Real Value: We learned that detecting fraud is only 50% of the battle. The real breakthrough in our project was using Gemini to translate complex, multi-dimensional tensor errors into actionable, human-readable compliance reports. The gap between Data Science and Operations is bridged by LLMs. Dynamic Thresholding: Static systems ultimately fail. Implementing Adaptive Risk Calibration taught us the importance of building security systems that can autonomously harden their own defenses when under attack.