AI Researcher – Brain Tumor Classification Project

Designed and implemented a deep learning model using ResNet50 to

classify brain MRI and CT scans.

Handled imbalanced data using augmentation techniques and applied an

80/20 train-test split to boost performance.

Applied transfer learning, freezing pre-trained layers before selectively fine

tuning the network.

Achieved 97% accuracy in multi-class classification of brain tumors.

Tools: TensorFlow, Keras, ImageDataGenerator, ResNet50