🌊 AI for Marine Debris Classification 

CLEVER’s research compares various machine learning models—Neural Networks (NN), Support Vector Machines (SVM), XGBoost (XGB), Logistic Regression (LR), and Random Forest (RF)—for underwater debris classification. Neural Networks and SVM lead with up to 84% accuracy, showcasing the potential of AI in environmental monitoring.