Nutrient prediction systems and methods can include systems and methods of training and testing
machine-
learning models and food purchase data collection and analysis. For example, a food purchase data collection and analysis
system, under the control of at least one processor, can include a purchase data collection device to collect food purchase data at a
point of sale of a
food basket including information regarding food items purchased and location of the food purchase, an analysis
server including a
machine-learning model predicting
nutrient availability based on the food purchase data, and a network for transmitting the food purchase data from the purchase data collection device to the analysis
server for analysis using the
machine-learning model.