Systems and methods for determining whether an individual is sick based on machine learning algorithms and individualized data

A system, comprising:

• a health characteristic device, comprising:
• one or more first processors;
• and
• a first non-transitory computer-readable medium having first processor-executable instructions stored thereon, wherein the first processor-executable instructions, when executed, facilitate:
• obtaining current sensor information indicating current health characteristics associated with an individual;
• and
• providing the current sensor information to a user device;
• and
• the user device, wherein the user device comprises:
• one or more second processors;
• and
• a second non-transitory computer-readable medium having second processor-executable instructions stored thereon, wherein the second processor-executable instructions, when executed, facilitate:
• obtaining a facial image of the individual;
• obtaining an audio file comprising a voice recording of the individual;
• determining a facial recognition confidence value associated with whether the individual is sick based on inputting the facial image into a facial recognition machine learning dataset that is individualized for the individual;
• determining a voice recognition confidence value associated with whether the individual is sick based on inputting the audio file into a voice recognition machine learning dataset that is individualized for the individual;
• determining whether the individual is sick based on the facial recognition confidence value, the voice recognition confidence value, and the current sensor information from the health characteristic device;
• and
• causing display of a prompt indicating whether the individual is sick.

A method, comprising:

• obtaining a facial image of an individual;
• obtaining an audio file comprising a voice recording of the individual;
• determining a facial recognition confidence value associated with whether the individual is sick based on inputting the facial image into a facial recognition machine learning dataset that is individualized for the individual;
• determining a voice recognition confidence value associated with whether the individual is sick based on inputting the audio file into a voice recognition machine learning dataset that is individualized for the individual;
• determining whether the individual is sick based on the facial recognition confidence value and the voice recognition confidence value;
• and
• causing display of a prompt indicating whether the individual is sick.