This undertaking examines an incorporating AI approach for arrangement and investigation of Global Terrorist
Activity. Machine learning-based data processing is usually applied to predict acts of terrorist events by which the experts
expect to urge a transparent picture of what the terrorists are pondering to accentuate defense against these organized acts.
This project focuses on the prediction of terrorist activities from the Global Terrorism Database (GTD) with Supervised
Machine Learning algorithms