Project Description:
This Brain Tumor Detection System leverages deep learning and the VGG16 architecture to analyze MRI scans with high precision. It provides an intuitive, web-based platform for medical imaging diagnostics, helping bridge the gap between AI research and real-world healthcare applications
The data set used, and the results we got:
We used the Brain Tumor MRI dataset with 4 classes, utilized VGG16 Transfer Learning with 128x128 image resizing and data augmentation, and achieved ~97% training accuracy with consistent 99%-100% confidence in real-time predictions.