A deep learning project for cervical cancer detection, classifying cervical cell images into 5 classes. It uses pre-processing techniques like SLIC super pixel segmentation and Canny edge detection, followed by fine-tuning pre-trained CNN models like ResNet50, VGG16, InceptionV3, EfficientNetB0-B7 and MobileNetV2-V3 to compare model performance.