| CPC G16H 20/60 (2018.01) [G16H 50/50 (2018.01)] | 16 Claims | 

| 
               1. A system for generating a dental nourishment program using machine-learning, the system comprising a computing device, wherein the computing device is configured to: 
            receive at least a dental factor relating to a subject; 
                retrieve, using the at least a dental factor, a dental parameter related to the subject, wherein retrieving the dental parameter related to the subject further comprises: 
                receiving training data, wherein the training data comprises a plurality of data entries correlating the dental factors as inputs to the dental parameters as outputs 
                iteratively training a dental factor machine-learning model using the training data, wherein iteratively training the dental factor machine-learning model comprises: 
                updating the training data as a function of inputs and outputs of a previous iteration of the dental factor machine-learning model; and 
                retraining the dental factor machine-learning model using the updated training data; and 
                generate, using the dental parameter, an alimentary model, wherein the alimentary model is a machine learning model trained using alimentary training data configured to correlate the dental parameters generated as a function of the trained dental factor machine-learning model to alimentary element subjects, wherein generating the alimentary model further comprises: 
                determining a respective effect of each alimentary level of a plurality of alimentary levels on the dental parameter; and 
                generating the alimentary model as a function of the respective effect of the plurality of alimentary levels; 
                identify, using the alimentary model, a plurality of alimentary elements, wherein the plurality of alimentary elements relates to dietary data; 
                modify the plurality of alimentary elements as a function of a received subject preference, wherein the subject preference comprises at least one constraint on the plurality of alimentary elements; 
                develop, using the modified plurality of alimentary elements, a hygienic model, wherein developing the hygienic model includes: 
                determining, using the modified plurality of alimentary elements, a plurality of hygienic patterns relating dental hygiene in relation to consumption of the plurality of alimentary elements; and 
                developing the hygienic model as a function of the hygienic patterns and the modified plurality of alimentary elements; and 
                build a dental nourishment program as a function of the modified plurality of alimentary elements and the hygienic model using the alimentary model, wherein building the dental nourishment program further comprises: 
                generating a linear programming function with the plurality of alimentary elements, wherein the linear programming function outputs at least an ordering of the modified plurality of alimentary elements according to the at least one constraint from the subject preference. 
               |