Grant appendix PDF export
This view is designed for PDF export and grant attachments. It combines reviewer materials, grant appendix, and evidence log in a single print-ready document.
For best results, use Chrome or Safari and select 'Save as PDF'.
For reviewers
MyFoodFit is an early-stage, research-aware, rule-based product designed to help people interpret food labels. The system is in active beta. Outputs are informational and non-diagnostic.
What is implemented
- Rule-based food evaluation logic
- Explainable signals tied to documented rules
- Preference-driven evaluation
- Confidence indicators where data is incomplete
- Active beta usage
What this is not
- Not a medical device
- Not diagnostic or therapeutic
- Not predictive
- Not clinically validated
- Not a substitute for professional advice
How to evaluate this product
Explainability
Can outputs be traced to rules?
Transparency
Are sources and limitations visible?
Appropriateness of scope
Are claims restrained?
Handling of uncertainty
Is ambiguity surfaced conservatively?
Supporting material
Current status
The product is early-stage and evolving. Evaluation and critique are welcome. Review does not imply endorsement. Contact is via the existing contact page.
Grant appendix: scope and evidence checklist
This checklist summarises current scope and references observable functionality only. It is intended to accompany formal review and does not introduce new claims or language not present elsewhere in the documentation.
Product status
- Early-stage product
- Active beta
- Research-aware
- Rule-based logic
- Not a medical device
What is implemented
- Explainable food evaluation
- Preference-driven scoring
- Confidence indicators for incomplete data
- Transparent rule descriptions
- User-facing explanations
What is not claimed
- No diagnosis
- No clinical validation
- No health outcome prediction
- No personalised treatment guidance
Supporting documentation
Evidence log
This log records observable product capabilities as they are implemented. Entries describe implementation, not outcomes. Inclusion does not imply validation or endorsement.
Current release (v6.1.0)
March 2026
Status: Build 47 on TestFlight
Implemented and observable
- Personalised RAG scoring (0–100, Red/Amber/Green) across 35+ dietary profiles
- Multi-layer scoring covering nutrition, processing level, allergens, micronutrients, and condition-specific thresholds
- Barcode scanning with multi-source data resolution
- AI photo scanning for meals and nutrition labels (independently benchmarked and validated)
- Find Food: AI-powered natural language food discovery
- Find Meals: constraint-aware recipe search
- Smart swap suggestions (23 categories, 100+ alternatives)
- Personal Cookbook for saving and re-cooking scored recipes
- Offline-first scanning bundle for popular UK products
- Weekly progress tracking with personalised insights
- All 14 EU allergen detection
- Profile-weighted micronutrients (pregnancy prioritises folate, menopause prioritises calcium, ADHD prioritises iron)
- Whole food protection, ultra-processed food detection, and processed meat flagging
- Partial data scoring: products scored even with incomplete nutrition data
- Comprehensive global food database with extensive UK product coverage
- Comprehensive automated test coverage across all scoring and integration paths
- Scoring validation partnership with Solent University
Explicitly not claimed
- No medical diagnosis
- No personalised medical advice
- No predictive health outcomes
- No clinical validation
Earlier versions
Earlier versions (v2.x and below) focused on foundational explainability and basic preference-based scoring. Coverage, scoring depth, and feature set have evolved substantially through v6.1.0. Prior versions are not presented as current evidence.
How this log should be used
- As a scope reference for reviewers
- To support transparency and auditability
- To prevent misinterpretation of beta functionality