Aim:
To develop a robust and efficient system for detecting Android malware by leveraging informative syscall subsequences, advanced machine learning, and deep learning models trained on the CICMalDroid2020 dataset.
To develop a robust and accurate crop yield prediction system, crop yield statistics, leveraging advanced machine learning techniques to promote sustainable agricultural practices and enhance global food security.