During this internship, developed a deep learning model to detect intrusions within the Internet of Medical Things (IoMT). The project involved optimizing a Random Forest Classifier, achieving high accuracy in detecting potential security threats. Various hyperparameter configurations were explored, including adjustments to the number of trees, criterion, and maximum depth.