This project aims to develop an efficient and accurate system for brain tumor segmentation using deep learning techniques. Leveraging the powerful U-Net architecture, we build a model capable of precisely identifying and segmenting brain tumors from MRI images. To make this technology accessible and user-friendly, we integrate the segmentation model into a web application using FastAPI, allowing users to interact with the model through a simple and intuitive interface.