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I propose adding an intelligent food intolerance detection feature to Bevel. This functionality would analyze patterns between food intake and symptoms such as stomach cramps, diarrhea, bloating, fatigue, and others, to help users identify potential food intolerances or sensitivities.
Details:
  • Integration with Food Tracking Apps: By linking Bevel with food-tracking apps, users can seamlessly import their dietary data. This integration would allow for a holistic view of dietary habits without requiring manual entry, making it easier for users to track potential triggers.
  • Symptom Tracking: Expand Bevel’s symptom-tracking capabilities with a broader range of options, specifically tailored to digestive and energy-related symptoms. This would enable users to record any discomfort, helping to capture the nuanced impacts of food intolerances.
  • Automatic, Intelligent Data Analysis: Using Bevel’s powerful data analytics engine, similar to the current features for recovery and sleep, users could receive personalized insights into which foods may be causing symptoms. The feature would track correlations between specific foods and reported symptoms, highlighting possible intolerances or sensitivities over time.