Body composition prediction tools

A machine readable medium containing instructions which, when read by a machine, causes the machine to perform a method of generating a health indicator for an individual human being, the method comprising the ordered steps of:

• receiving, at a server via an internet connection, at least two unique digital photographs of the individual, wherein the at least two unique digital photographs include a front-view image and a side-view image;
• receiving, at the server, demographic information of the individual, wherein the demographic information includes gender;
• by the server, extracting measurements indicative of body shape from the digital photographs and constructing a 3D model of the individual using the received measurements extracted from the captured at least two unique digital photographs;
• by the server, retrieving information from a body composition database, the body composition database comprising internal body composition data and corresponding body shape and demographic data of other individual human beings, the retrieved information being selected based on identifying a subset of data in the database based on the received demographic information, and matching the measurements captured by the data collector to body shape data in the identified subset of data in the database;
• by the server, determining a value for the health indicator by automatically synthesizing the measurements received from the data collector and the retrieved information from the body composition database;
• sending, by the server, the health indicator value and the 3D model to an electronic device comprising a display screen;
• and
• using the screen of the electronic device, displaying the 3D model and the health indicator value.