Advanced Nutrition Diagnostics & Micronutrient Performance Analysis #199
Description
💡 Summary
Enhance the platform's nutrition capabilities with science-based UX/UI for micronutrient analysis and automated nutrition-symptom correlation.
🤷 Motivation / Use Case
Optimal athletic performance depends on sufficient micronutrient levels. Deficiencies act as bottlenecks. Connecting subjective wellness (fatigue, cramping) with objective nutritional intake provides actionable root cause analysis.
📋 Detailed Requirements
- Micronutrient Sufficiency Score: A "Traffic Light System" for key athletic micronutrients (Iron, Magnesium, B vitamins, electrolytes, Vitamin D).
- Proactive Alerts: Notifications for consistent low intake of specific micronutrients.
- Symptom Correlation: Automatically generate "Nutrition-Symptom Correlation Reports" linking wellness events (e.g., GI distress) to recent meals and metabolic states.
- Root Cause Analysis: AI-driven insights connecting specific symptoms to nutritional patterns.
✅ Acceptance Criteria
- Dashboard provides clear visibility into micronutrient sufficiency.
- System identifies potential links between logged symptoms and nutrition data.
- Proactive suggestions are provided to resolve identified nutrient bottlenecks.