Developed an AI-based system for analyzing brain imaging data with a focus on extracting meaningful neurological insights. The project integrates machine learning techniques with neuroimaging processing to identify patterns related to brain structure and potential clinical indicators. The system processes MRI data to quantify anatomical features (e.g., cerebellar regions), followed by predictive modeling to explore relationships between structural variations and functional outcomes.