AI-Driven Transboundary Stacking Framework for Flash Flood Risk Prediction in the Sylhet Basin, Bangladesh

This study contributes an AI-driven transboundary stacking framework for flash flood risk prediction in the Sylhet Basin. It integrates local rainfall with lagged and cumulative upstream rainfall from Meghalaya and Assam using Random Forest, Gradient Boosting, and Logistic Regression. The proposed framework achieved an F1-score of 0.9855 and ROC-AUC of 1.0000, demonstrating strong potential for early flood-risk detection.