Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.

Analysis of the dermoscopic image processing pipeline toward optimally segmenting skin lesion regions and classifying lesion types using adversarial and generative deep learning.

Developed an automated classification system for melanoma detection using TensorFlow and Convolutional Neural Networks (CNN), integrating patient-level data with image processing, and deployed with Docker for scalable clinical use.