This project takes images of MRI brain scans and using neural networks puts them into 4 different categories judging on the form of tumor present if any. The goal of this project is to provide a tool for the identification of medical tumors. This model is about 97% accurate. The system is built using a Convolutional Neural Network (CNN) and uses the design mentioned in the paper below: https://www.sciencedirect.com/science/article/abs/pii/S1877750324001170#sec0025

-Preprocessing of images
- Convolutional Neural Network for Binary Classification
-Evaluation Metrics for Accuracy and Loss
-Visualization of results with Graphs

https://www.kaggle.com/datasets/masoudnickparvar/brain-tumor-mri-dataset/data