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

This invention describes a method for providing personalized health advice by understanding how food affects an individual. It works by automatically gathering vast amounts of food information from the internet, organizing it into a structured map of food types, and combining this with a person's unique health and nutritional data. A predictive model then analyzes this combined information to determine the specific effects of food consumption on that person's body.

Why it matters: Filed before large language models could easily process and abstract information from vast internet sources. The claims cover using NLP and computer vision to build a food ontology, which is now significantly more feasible and accurate with current AI advancements.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedAI/ML models, data pipelines, web crawlers

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