In this project, I focused on predicting kidney cysts using advanced machine learning techniques. The goal was to develop a model capable of accurately identifying and predicting the formation of cysts in the kidney based on medical imaging data and patient records. The project involved preprocessing large datasets, feature extraction, and the application of predictive algorithms to assess the likelihood of cyst formation. The model aimed to assist clinicians in early detection and improve decision-making for treatment strategies. This work has potential clinical applications in enhancing diagnostic accuracy and optimizing patient care.