To be able to recommend products based on a picture, the first step is to train a model to classify those pictures and show similar products. Since it was a 24h challenge, instead of training (or retraining a model), I used a trained model “InceptionV3” which is known for image classification. To speed up even faster the process for this hackathon, and because I already had a dataset of fashion products, my team and I preferred to store the prediction of each image in our dataset, ready to be compared.