Image Forgery Detection using Deep learning Graduation project

Comparative study for DermAI project evaluating multiple ML/DL algorithms (CNN, ResNet50, VGG16, EfficientNet, ANN, RNN, KNN) on 5,000 dermoscopic images to justify CNN selection for skin cancer classification. Includes metrics, confusion matrices, and visual performance analysis.