How MyFoodFit works
MyFoodFit translates food label information into clear green / amber / red signals. Each signal is explainable and tied to a documented rule, rather than a statistical model.
Inputs we use
- Ingredient lists and ordering.
- Nutrition facts per serving and per 100g where available.
- Declared serving size and packaging context.
Rule-based logic
Rules are derived from public guidance and nutrition labeling standards. Each rule uses explicit thresholds and definitions, so the app can state why a signal appears.
Explainability
Every signal includes the reason and the rule behind it. Users can see what triggered the result and where the logic comes from. There is no hidden model or black box scoring.
Decision-first rating flow
MyFoodFit is designed to answer the primary question first: "Does this fit my dietary needs?"
The green / amber / red model provides rule-based clarity tuned to the user's primary dietary constraint. This model is a summary signal, not a judgement system.
Explanations and nutritional details are available secondarily, so users can understand the reasoning without being overwhelmed by data before reaching a decision.
This flow keeps the primary answer visible before deeper details.
When information is incomplete
Some food data may be missing or partial. When this occurs, the product flags uncertainty clearly and applies conservative defaults where needed.
Users are invited to contribute missing information if they choose, but this is optional. The system does not infer or assume data that is not available.
All outputs remain informational and are presented with appropriate context about data quality.
Current Beta Interface
Explainability of results
Screens shown reflect the current beta implementation and may change.
Preference-driven evaluation
Screens shown reflect the current beta implementation and may change.
Personalised recipes for your dietary needs
Screens shown reflect the current beta implementation and may change.
Limitations
- Food labels can be incomplete or inconsistent; outputs are only as reliable as the label.
- The beta does not adapt to medical history, allergies, or clinical needs.
- The rule set is evolving and may change as we incorporate feedback and external review.
MyFoodFit provides educational information and does not provide medical advice, diagnosis, or treatment.