Systems and methods for food analysis, personalized recommendations, and health management

This invention describes a system that tracks what a person eats and monitors their blood sugar levels. It then learns how specific foods affect that individual's glucose and stores this personalized information. Based on this data, the system can offer tailored advice to help the person manage their blood sugar, specifically by analyzing images, videos, or text logs of their meals.

Why it matters: While filed recently, the rapid advancements in AI for multimodal input, specifically image, video, and voice recognition, have made the food consumption logging described in the claims significantly more robust and accurate. Concurrently, the increasing integration and accessibility of continuous glucose monitors simplify the data collection for personalized health management.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, AI/ML food recognition, glucose integration.

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