DeepTumor is a brain tumor segmentation and classification project aimed at developing a deep learning model with over 1 million parameters using TensorFlow. Our model will be powered by fresh data images and optimized for accuracy and efficiency. We have employed green computing practices to ensure that our model contributes to Sustainability. One of the key features of DeepTumor is the development of a User Interface that enables easy interaction with the model. Users will be able to input patient details, and within seconds, the system will generate reports on tumor detection and classification. These reports will be delivered via email or SMS for user convenience. Our project will be an important tool for healthcareprofessionals to improve the diagnosis and treatment of brain tumors. The high accuracy and efficiency of our deep learning model will ensure that patients receive timely and accurate information, leading to better patient outcomes. We believe that our focus on sustainability combined with the latest deep learning technology will make DeepTumor a valuable and innovative contribution to the healthcare field.