Production-ready fraud detection framework combining Graph Convolutional Networks, LSTM, and ARIMA for temporal and relational pattern recognition. Achieved 93.4% accuracy and 30% fewer false positives via SMOTE class balancing, dropout regularization, and custom loss functions. Fully API-ready for real-time streaming deployment in live financial systems.APIs.