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aidataDatabase, ingestion pipelines, migrationsDatabase, ingestion pipelines, migrationsenhancementNew feature or requestNew feature or requestpriority:mediumui/ux
Description
💡 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
- Nomenclature Localization: Allow users to configure regional meal names to ensure accurate AI interpretation.
- Time-Based Categorization: User-defined windows for Breakfast/Lunch/Dinner to automatically categorize timestamped logs.
- Structured Preferences: Move beyond free-text to structured inputs (drop-downs for Keto/Vegan, sliders for macro splits, dedicated allergy fields).
✅ 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.
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aidataDatabase, ingestion pipelines, migrationsDatabase, ingestion pipelines, migrationsenhancementNew feature or requestNew feature or requestpriority:mediumui/ux