Ai Powered Glucose Monitoring
The Need We Identified
At the core is a production glucose-spike prediction engine achieving 21.8 mg/dL mean absolute error with no sensor needed at the moment of use. Context (pre-meal glucose, fasting duration, diabetes status, recent activity) matters more than the food itself — which sets Ai Powered Glucose Monitoring apart from typical calorie- and macro-counting apps that score meals on nutrition alone.
Expertise
Tools & Technology
AI-Powered Food Recognition • Machine Learning Health Analytics • Real-Time Tracking
Solution
Intervention engine shows how much a post-meal walk or workout would reduce a spike, turning prediction into actionable guidance.
Glucose-spike prediction
Forecasts the post-meal glucose rise for the individual user from a single meal photo, with no CGM needed.
Interpretable health insights
Explains why a meal scored as it did through familiar ratios.
Personalized baseline
Diabetic and prediabetic users can optionally add a CGM or fasting-glucose value for a more personalized prediction.
Result
By implementing the tailored solution, we delivered significant operational improvements:
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Weight-management engine: Models energy balance over time using the validated Mifflin-St Jeor equation.
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Intermittent-fasting tracker: Monitors eating and fasting windows.
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