Abstract: A method for filtering products based on images, comprising the steps of: receiving, from one or more databases, data relating to a product, the information include at least an image, a product identifier, and a context; generating a plurality of fields based on the context; selecting, for each of the plurality of fields, a machine learning model from a plurality of machine learning models; analyzing the data using the selected machine learning model; generating, for each of the plurality of fields, a keyword based on the analysis of the data; updating the data to include the plurality of fields each containing a generated keyword; and indexing the updated data for storage in the one or more databases.