Project

Brain Tumor Detection – MRI Classification System

Developed a hybrid deep learning model combining VGG16 and MobileNetV2 with an attention mechanism for four-class brain MRI classification. Applied transfer learning, data augmentation, and feature fusion; evaluated performance using classification metric

• Python
• TensorFlow/Keras
• VGG16
• MobileNetV2
• Scikit-learn