This project aims to build an AI system that can automatically detect brain tumors from MRI scans. The system performs segmentation to accurately locate and outline tumor regions, and classification to identify the tumor type (e.g., glioma, meningioma, pituitary, or no tumor). By combining these two tasks, the model supports faster and more reliable medical diagnosis, assisting radiologists in treatment planning and improving patient outcomes.