Nutrioptimizer Nutrioptimizer

Diet planning without Optimization tool is time consuming and prone to compromises in the composition of a final Diet. This challenge is overcome by the Mathematical Optimization technique used in Nutrioptimizer. Our approach, overcomes these problems because all variable factors are modeled simultaneously and the model's goals can be suitably weighted to establish their levels of relative importance. An user-friendly interface along with the Mathematical Optimization Modeling substantially reduces the time required to set up the Models for developing a Diet Plan.
With a user-friendly interface the user can use our approach with only a limited understanding of the Modeling process for Optimization of Diet Plan.
As such the decisions in Diet Planning are objectively defined and optimal solutions are rapidly selected among the countless alternatives.
In Nutrioptimizer the Mathematical Optimization is done for

  1. Individual Level Diet Modeling based on :
      a) Observed / Average consumption of Normal Foods
      b) Normal Foods Choosen
  2. Population Diet Modeling based on Observed / Average Consumption as Food Subgroup / Food Pattern / Food Category:
    • Normal Foods consumed by population are disaggregated into Food Subgroup / Food Pattern and Average consumption is to be arrived as Subgroup / Food Pattern .
    • For the Food Subgroup / Food Pattern , Weighted Average Nutrient values & Pyramid Food Group values are to be calculated
    • These values are taken for Optimization and Optimized Diet as Food Subgroup / Food Pattern is arrived at.