Personalized Nutrition Recommender

Powered by Inverse Learning — generating minimal, personalized dietary adjustments to meet nutritional guidelines

How it works: Enter your typical daily food intake, choose a dietary regimen, and optionally set nutritional priorities. The tool applies the Modified Goal-Integrated Inverse Learning (MGIL) model, producing a sequence of recommended diets. Each step satisfies one additional nutritional target while staying as close as possible to your eating habits — letting you see the marginal cost of each nutritional improvement.
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🍽 Your Food Diary

⚙ Diet & Nutritional Priorities

Dietary Regimen

Select which nutrients the model should prioritize at each step. Reduce = enforce an upper bound first; Increase = enforce a lower bound first.

Nutrients to Increase

Nutrients to Reduce

Observation–Constraint Tradeoff

Each step binds one additional nutritional target while minimising deviation from your diet. The distance shows total change in servings from your original intake.

Recommended Servings
Recommended servings heatmap
Nutrient Levels

Green bands indicate the target range from the selected dietary regimen.

Nutrient levels chart