Abstract: A system and method for up-to-date nutrient database management and nutrient assessment with personalized feedback was created by applying artificial intelligence and machine learning algorithms. This system and method allow for the collection of food intake information, generation and storage of new food records with nutritional data and portions, aggregation of complete micronutrient and macronutrient data with real-time feedback to accurately and efficiently assess nutrient intake when compared to nutrient goals.

Abstract: A container has a lid and a locking mechanism. The locking mechanism includes a male wall with a switch. A female wall mounts to the inside wall of the container and, when closed, encompasses the male wall. The female wall has a magnet that activates the switch. A lever contained inside the male wall moves into and out of a slot formed in the female wall. The switch completes a circuit that generates a close signal to the lever when the lid is closed. A button extends through a hole in the lid such that the button can be depressed to indicate locking and cannot be depressed when unlocked. When unlocked, the button cannot be depressed because the lever blocks the button. To open the container when closed, the actuation mechanism moves the lever in response to an entered code that must match a stored code or calculated content-specific code.