This project uses a Convolutional Neural Network (CNN) to detect and classify brain tumors from MRI scans, helping automate medical diagnoses for faster results. Trained on over 2,000 MRI images, the model achieves 97% training accuracy and 93% validation accuracy by using convolutional layers for feature extraction and dense layers for tumor classification. It includes a user-friendly front-end application where users can upload an image for instant predictions. I have plans to expand the dataset to cover additional neurological conditions. Check out the project repository on GitHub to learn more.