💡 Summary
Improve the meal logging system with regional nomenclature support, automated time-based categorization, and structured dietary preference configuration.
🤷 Motivation / Use Case
Current logging is prone to regional misunderstandings (e.g., "Dîner" in Québec vs Europe) and relies too heavily on free-text inputs for critical dietary constraints.
📋 Detailed Requirements
✅ Acceptance Criteria
- AI correctly identifies meal types based on regional settings.
- Logged items are automatically assigned to the correct meal category based on time.
- Dietary constraints are stored in a structured format for reliable AI guidance.
💡 Summary
Improve the meal logging system with regional nomenclature support, automated time-based categorization, and structured dietary preference configuration.
🤷 Motivation / Use Case
Current logging is prone to regional misunderstandings (e.g., "Dîner" in Québec vs Europe) and relies too heavily on free-text inputs for critical dietary constraints.
📋 Detailed Requirements
✅ Acceptance Criteria