Systems and methods for generating a sustenance plan for managing genetic disorders

A method for generating a sustenance plan for managing genetic disorders, the method comprising:

• receiving, by a computing device, at least one genetic marker and an input comprising genetics test data;
• identifying a plurality of biological indices of a disease state as a function of the genetics test data, wherein the plurality of biological indices comprises at least one biological index related to a genetic disease state;
• generating, by the computing device, a genetic disorder classifier, wherein the generating the genetic disorder classifier comprises:
• receiving genetic disorder training data correlating biological indices of genetic disorders and genetic markers to genetic disorder labels;
• and
• training the genetic disorder classifier using the genetic disorder training data;
• inputting the at least one biological index and the at least one genetic marker into the genetic disorder classifier;
• classifying, by the computing device and using the genetic disorder classifier, the at least one biological index and the at least one genetic marker to a positive result for a genetic disorder;
• and
• generating a sustenance plan as a function of the positive result, wherein generating the sustenance plan further comprises:
• receiving sustenance plan training data;
• training a machine-learning model using the sustenance plan training data, wherein the sustenance plan training data correlates sustenance plans with a historical ameliorative effect on genetic disorders;
• inputting the genetic disorder into the machine-learning model;
• and
• outputting the sustenance plan as a function of the genetic disorder and the machine-learning model.