Ā Ā Ā Ā Ā To develop a robust machine learning system for detecting money laundering activities in blockchain transactions using Random Forest, Decision Tree, LightGBM, and CatBoost models.
Ā Ā Ā Ā Ā To develop a four-class disaster prediction system that uses SMOTE for class balancing, evaluates four advanced machine learning models, selects the best-performing classifier, and deploys it through an interactive web interface
Ā Ā Ā Ā Ā To develop a real-time ransomware detection system using API call temporal intervals, enabling simulation and classification of ransomware behavior with a live interface.
Ā Ā Ā Ā Ā To develop a high-accuracy breast cancer classification system using an optimized Support Vector Classifier integrated with preprocessing and feature selection techniques.