Abstract: Processes are provided for controlling body weight of a consumer, as well as for selecting and purchasing foods, and for producing food products, based on a combination of food energy data and relative healthfulness data for a candidate food. Various ways are provided for obtaining and accessing the food energy data and relative healthfulness data. Related processes and systems are also provided for assisting in the foregoing processes.

Abstract: Systems and methods of the present disclosure use one or more processor(s) to receive a consumable preference and a daily score intake value associated with a user and to obtain a content data regarding consumable item including an amount of a first nutrient found in the consumable item. The processor(s) utilizes, in real-time, a nutrient prediction machine learning model to ingest the content data regarding the consumable item and predict an amount of a second nutrient in the consumable item based on the content data and a decision tree library of thousand nutrient decision trees. The processor(s) determines zero-scored consumable item based on the daily score intake value, the amount of the first nutrient, the amount of the second nutrient, and the consumable preference. The processor(s) instructs a computing device to utilize a graphical user interface element to identify the zero-scored consumable item on a screen of the computing device.

Abstract: Systems and methods of the present disclosure use one or more processor(s) to receive a consumable preference and a daily score intake value associated with a user and to obtain a content data regarding consumable item including an amount of a first nutrient found in the consumable item. The processor(s) utilizes, in real-time, a nutrient prediction machine learning model to ingest the content data regarding the consumable item and predict an amount of a second nutrient in the consumable item based on the content data and a decision tree library of thousand nutrient decision trees. The processor(s) determines zero-scored consumable item based on the daily score intake value, the amount of the first nutrient, the amount of the second nutrient, and the consumable preference. The processor(s) instructs a computing device to utilize a graphical user interface element to identify the zero-scored consumable item on a screen of the computing device.

Abstract: Processes are provided for controlling body weight of a consumer, as well as for selecting and purchasing foods, and for producing food products, based on a combination of food energy data and relative healthfulness data for a candidate food. Various ways are provided for obtaining and accessing the food energy data and relative healthfulness data. Related processes and systems are also provided for assisting in the foregoing processes.

Abstract: Processes are provided for controlling body weight of a consumer, as well as for selecting and purchasing foods, and for producing food products, based on a combination of food energy data and relative healthfulness data for a candidate food. Various ways are provided for obtaining and accessing the food energy data and relative healthfulness data. Related processes and systems are also provided for assisting in the foregoing processes.

Abstract: A non-therapeutic method for assisting a person to control weight of the person that includes receiving, by a programmed computer system, input data, calculating, in real-time, by the programmed computer system, at least one actual RCV(t) value over a period of time based, at least in part, on the food data of the input data and stored food data; calculating, in real-time, by the programmed computer system, at least one potential RCV(t) value over a period of time; displaying, in real-time, by the programmed computer system, at least one first graphical indicator representative of the at least one actual RCV(t) value over the period of time; and displaying, in real-time, by the programmed computer system, at least one second graphical indicator representative of the at least one potential RCV(t) value over the period of time.

Abstract: Processes are provided for controlling body weight of a consumer, as well as for selecting and purchasing foods, and for producing food products, based on a combination of food energy data and relative healthfulness data for a candidate food. Various ways are provided for obtaining and accessing the food energy data and relative healthfulness data. Related processes and systems are also provided for assisting in the foregoing processes.

Abstract: Processes are provided for controlling body weight of a consumer, as well as for selecting and purchasing foods, and for producing food products, based on a combination of food energy data and relative healthfulness data for a candidate food. Various ways are provided for obtaining and accessing the food energy data and relative healthfulness data. Related processes and systems are also provided for assisting in the foregoing processes.

Abstract: A non-therapeutic method for assisting a person to control weight of the person that includes receiving, by a programmed computer system, input data, calculating, in real-time, by the programmed computer system, at least one actual RCV(t) value over a period of time based, at least in part, on the food data of the input data and stored food data; calculating, in real-time, by the programmed computer system, at least one potential RCV(t) value over a period of time; displaying, in real-time, by the programmed computer system, at least one first graphical indicator representative of the at least one actual RCV(t) value over the period of time; and displaying, in real-time, by the programmed computer system, at least one second graphical indicator representative of the at least one potential RCV(t) value over the period of time.

Abstract: Processes are provided for controlling body weight of a consumer, as well as for selecting and purchasing foods, and for producing food products, based on a combination of food energy data and relative healthfulness data for a candidate food. Various ways are provided for obtaining and accessing the food energy data and relative healthfulness data. Related processes and systems are also provided for assisting in the foregoing processes.

Abstract: Processes are provided for controlling body weight of a consumer, as well as for selecting and purchasing foods, and for producing food products, based on a combination of food energy data and relative healthfulness data for a candidate food. Various ways are provided for obtaining and accessing the food energy data and relative healthfulness data. Related processes and systems are also provided for assisting in the foregoing processes.

Abstract: Processes are provided for controlling body weight of a consumer, as well as for selecting and purchasing foods, and for producing food products, based on a combination of food energy data and relative healthfulness data for a candidate food. Various ways are provided for obtaining and accessing the food energy data and relative healthfulness data. Related processes and systems are also provided for assisting in the foregoing processes.

Abstract: Processes are provided for controlling body weight of a consumer, as well as for selecting and purchasing foods, and for producing food products, based on a combination of food energy data and relative healthfulness data for a candidate food. Various ways are provided for obtaining and accessing the food energy data and relative healthfulness data. Related processes and systems are also provided for assisting in the foregoing processes.

Abstract: Processes are provided for controlling body weight of a consumer, as well as for selecting and purchasing foods, and for producing food products, based on a combination of food energy data and relative healthfulness data for a candidate food. Various ways are provided for obtaining and accessing the food energy data and relative healthfulness data. Related processes and systems are also provided for assisting in the foregoing processes.

Abstract: A non-therapeutic method for assisting a person to control weight of the person that includes receiving, by a programmed computer system, input data, calculating, in real-time, by the programmed computer system, at least one actual RCV(t) value over a period of time based, at least in part, on the food data of the input data and stored food data; calculating, in real-time, by the programmed computer system, at least one potential RCV(t) value over a period of time; displaying, in real-time, by the programmed computer system, at least one first graphical indicator representative of the at least one actual RCV(t) value over the period of time; and displaying, in real-time, by the programmed computer system, at least one second graphical indicator representative of the at least one potential RCV(t) value over the period of time.

Abstract: Processes are provided for controlling body weight of a consumer, as well as for selecting and purchasing foods, and for producing food products, based on a combination of food energy data and relative healthfulness data for a candidate food. Various ways are provided for obtaining and accessing the food energy data and relative healthfulness data. Related processes and systems are also provided for assisting in the foregoing processes.

Abstract: Processes are provided for controlling body weight of a consumer, as well as for selecting and purchasing foods, and for producing food products, based on a combination of food energy data and relative healthfulness data for a candidate food. Various ways are provided for obtaining and accessing the food energy data and relative healthfulness data. Related processes and systems are also provided for assisting in the foregoing processes.

Abstract: Processes are provided for controlling body weight of a consumer, as well as for selecting and purchasing foods, and for producing food products, based on a combination of food energy data and relative healthfulness data for a candidate food. Various ways are provided for obtaining and accessing the food energy data and relative healthfulness data. Related processes and systems are also provided for assisting in the foregoing processes.

Abstract: A non-therapeutic method for assisting a person to control weight of the person that includes receiving, by a programmed computer system, input data, calculating, in real-time, by the programmed computer system, at least one actual RCV(t) value over a period of time based, at least in part, on the food data of the input data and stored food data; calculating, in real-time, by the programmed computer system, at least one potential RCV(t) value over a period of time; displaying, in real-time, by the programmed computer system, at least one first graphical indicator representative of the at least one actual RCV(t) value over the period of time; and displaying, in real-time, by the programmed computer system, at least one second graphical indicator representative of the at least one potential RCV(t) value over the period of time.

Abstract: A non-therapeutic method for assisting a person to control weight of the person that includes receiving, by a programmed computer system, input data, calculating, in real-time, by the programmed computer system, at least one actual RCV(t) value over a period of time based, at least in part, on the food data of the input data and stored food data; calculating, in real-time, by the programmed computer system, at least one potential RCV(t) value over a period of time; displaying, in real-time, by the programmed computer system, at least one first graphical indicator representative of the at least one actual RCV(t) value over the period of time; and displaying, in real-time, by the programmed computer system, at least one second graphical indicator representative of the at least one potential RCV(t) value over the period of time.