Apparatus and method for generating a refreshment hash
View Patent ↗An apparatus for generating a refreshment hash, wherein the apparatus comprises at least a processor; and a memory communicatively connected to the at least a processor, wherein the memory containing instructions configuring the at least a processor to receive a refreshment option; analyze the refreshment option to identify at least an ingredient; receive a nourishment indicator; adjust the at least an ingredient as a function of the nourishment indicator; output an updated refreshment option; and secure the updated refreshment option within a refreshment hash as a function of a storage hash.
1 . An apparatus for generating a refreshment hash, wherein the apparatus comprises:
at least a processor; and
a memory communicatively connected to the at least a processor, wherein the memory containing instructions configuring the at least a processor to:
receive a refreshment option;
analyze the refreshment option to identify at least an ingredient;
receive a nourishment indicator;
adjust the at least an ingredient as a function of the nourishment indicator;
output an updated refreshment option; and
secure the updated refreshment option within a refreshment hash as a function of a storage hash, wherein securing the updated refreshment option within the refreshment hash comprises using a secure timestamp generated using a digital signature protocol, and wherein the secure timestamp is configured to provide attested time for verifying authenticity of the refreshment hash.
2 . The apparatus of claim 1 , wherein the refreshment option further comprises a recipe.
3 . The apparatus of claim 1 , wherein the refreshment option further comprises a visual graphic.
4 . The apparatus of claim 1 , wherein the at least an ingredient further comprises a refreshment preparation style.
5 . The apparatus of claim 1 , wherein the nourishment indicator identifies a phenotypic cluster located within a geographic location.
6 . The apparatus of claim 5 , wherein the phenotypic cluster further comprises a prevalence factor.
7 . The apparatus of claim 1 , wherein adjusting the at least an ingredient further comprises generating a nourishment machine-learning model, wherein the nourishment machine-learning model utilizes a refreshment option as an input and outputs an updated refreshment option.
8 . The apparatus of claim 7 , wherein the input containing the refreshment option further comprises a refreshment source.
9 . The apparatus of claim 1 , wherein the at least a processor is further configured to:
calculate a nourishment label for the updated refreshment option; and
secure the updated refreshment option within the storage hash as a function of the nourishment label.
10 . The apparatus of claim 1 , wherein the storage hash further comprises a temporal preparation element.
11 . A method of generating a refreshment hash, wherein the method comprises:
receiving, by at least a processor, a refreshment option;
analyzing, by the at least a processor, the refreshment option to identify at least an ingredient;
receiving, by the at least a processor, a nourishment indicator;
adjusting, by the at least a processor, the at least an ingredient as a function of the nourishment indicator;
outputting, by the at least a processor, an updated refreshment option; and
securing, by the at least a processor, the updated refreshment option within a refreshment hash as a function of a storage hash, wherein securing the updated refreshment option within the refreshment hash comprises using a secure timestamp generated using a digital signature protocol, and wherein the secure timestamp is configured to provide attested time for verifying authenticity of the refreshment hash.
12 . The method of claim 11 , wherein receiving the refreshment option further comprises receiving a recipe.
13 . The method of claim 11 , wherein receiving the refreshment option further comprises receiving a visual graphic.
14 . The method of claim 11 , wherein identifying the at least an ingredient further comprises identifying a refreshment preparation style.
15 . The method of claim 11 , wherein adjusting the nourishment indicator comprises identifying a phenotypic cluster located within a geographic location.
16 . The method of claim 15 , wherein the phenotypic cluster further comprises a prevalence factor.
17 . The method of claim 11 , wherein adjusting the at least an ingredient further comprises generating a nourishment machine-learning model, wherein the nourishment machine-learning model utilizes a refreshment option as an input and outputs an updated refreshment option.
18 . The method of claim 17 , wherein the input containing the refreshment option further comprises a refreshment source.
19 . The method of claim 11 , further comprising:
calculating a nourishment label for the updated refreshment option; and
securing the updated refreshment option within the storage hash as a function of the nourishment label.
20 . The method of claim 11 , wherein the storage hash further comprises a temporal preparation element.