Systems and methods for arranging transport of adapted nutrimental artifacts with user-defined restriction requirements using artificial intelligence

A system for arranging transport of adapted nutrimental artifacts with user-defined restriction requirements using artificial intelligence, the system comprising:

• at least a user-client device associated with a user and containing at least an exhibition element and a processor and connected to at least a central network, the at least a user-client device designed and configured to:
• display at least an unrestricted nutrimental object on the at least an exhibition element;
• generate a restricted nutrimental datum, wherein generating the restricted nutrimental datum comprises recording an allergy test of the user;
• transmit the at least a restricted nutrimental datum;
• generate a restricted nutrimental object, wherein generating the restricted nutrimental object comprises filtering the unrestricted nutrimental object according to a filter of the at least a first filter set;
• generate at least an adapted nutrimental request, wherein generating the at least an adapted nutrimental request comprises selecting a nutrimental artifact from the restricted nutrimental object;
• transmit the at least an adapted nutrimental request, said at least an adapted nutrimental request identifying the selected nutrimental artifact;
• and
• receive a selection of at least a sustenance provider and a selection of at least a physical performer;
• at least a server, connected to the at least a central network, the at least a server designed and configured to receive the at least a restricted nutrimental datum;
• a nutrimental processing module operating on the at least a server, the nutrimental processing module designed and configured to:
• generate, at least a first filter set by a machine learning model, the machine learning model trained by a training set comprising restricted nutrimental data, the machine learning model configured to receive the allergy test of the user as inputs and output the at least the first filter set;
• and
• transmit the at least a first filter set to the at least a user-client device;
• and a nourishment provider module operating on the at least a server, the nourishment provider module designed and configured to:
• receive the at least an adapted nutrimental request;
• receive at least a sustenance provider datum, and at least a physical performer datum;
• generate at least a sustenance provider instruction set and at least a physical performer instruction set as a function of the at least a sustenance provider datum and the at least a physical performer datum and the identified nutrimental artifact;
• select the at least a sustenance provider and the at least a physical performer as a function of the at least a sustenance provider instruction set and the at least a physical performer instruction set, wherein selecting a sustenance provider further comprises:
• generating a loss function wherein the loss function comprises a machine-learning model trained by a training set comprising using nutrimental preferences, wherein the machine learning model is configured to receive at least a user nutrimental preference as inputs and output the loss function;
• and
• minimizing the loss function;
• and
• transmit the selection of the at least a sustenance provider and the selection of the at least a physical performer to the at least a user-client device.