Method and system for identifying biometric characteristics using machine learning techniques

A system comprising:

• a processor;
• and
• a non-transitory computer-readable memory storing thereon instructions that, when executed by the one or more processors, cause the system to:
• receive a machine-learned model trained to determine biometric characteristics based on audiovisual data;
• receive, from a computing device, a request for an insurance quote for a user, the request including audiovisual sensor data associated with the user;
• extract an audiovisual feature from the audiovisual sensor data;
• determine, based on the audiovisual feature and using the machine-learned model, a biometric characteristic;
• determine, based on the biometric characteristic, a health indicator associated with the user;
• determine, based on the health indicator, the insurance quote;
• and
• transmit, to the computing device, a response including the insurance quote.

A non-transitory computer-readable memory storing thereon instructions that, when executed by one or more processors, cause the one or more processors to:

• receive, from a computing device, a request to quote for an insurance for a user, the request including sensor data associated with the user, wherein the sensor data includes at least one of audio data, image data, or video data captured of the user;
• extract at least one feature from the sensor data;
• input the at least one feature to a machine-learned model;
• receive, from the machine-learned model, an output including one or more biometric characteristics;
• determine, based on the one or more biometric characteristics, a health indicator of the user;
• determine, based on the one or more biometric characteristics and the health indicator of the user, an estimated quote of the insurance;
• and
• transmit, to the computing device, a response to the request including the estimated quote of the insurance.