Through an evaluation of deep-learning algorithms, two sets of Python Jupyter Notebooks to seamlessly perform the otherwise difficult task of Deepfake Generation and Detection were developed each. This enables Deepfake researchers to easily generate such images, as well as allow the general public to more effectively distinguish between synthetic images from real ones. Additionally, 2 Datasets of 300 Images will be obtained from both the developed Generation and Detection Models to aid further training and testing of such DeepFakes models.