GlucoLens
GlucoLens is a concept design that explores how AI and computer vision can support insulin-dependent diabetes management. The system scans meals, estimates carbohydrates, integrates glucose data, and assists users in making faster and more informed insulin decisions.
On Boarding
The onboarding flow collects key health information from users, including body metrics, diabetes type, diagnosis history, and CGM usage. This information helps the system create a personalized profile to support more accurate glucose insights and insulin dose recommendations.
Meal Recognition & Insulin Recommendation
Users scan their meal to automatically detect food items, estimate nutrition, and receive a personalized insulin dose recommendation before confirming delivery.
Barcode Scan and Recipe
Users can scan barcodes, upload photos or files, or select recipes to detect food items. The recipe option is especially helpful for users who frequently repeat meals or want to explore new dishes from the community.
Data Analyze
The Data section visualizes glucose trends, meal logs, and insulin usage over time. By analyzing these patterns, the AI Nurse generates personalized reports that help users understand how their meals and habits influence their glucose levels.
