Deep Learning Model- Solution Design A Convolution Neural Network architecture was preferred due to its strengthen to classify images. The problem was a binary classification to determine if an image had a parasite or uninfected A total of 6 models were trained and tested to choose the best performing models They were divided into 4 distinct CNNs and 2 VGG type neural networks