Abstract: A system and a method are disclosed for a platform that predicts performance metrics for a person of interest (POI) in real-time and over an extended time period. The platform extracts attributes of the POI, attributes of a team corresponding to the POI, and inherent properties of an event corresponding to the POI. The platform generates a live component vector comprising the extracted attributes and inherent properties and inputs the live component vector to a first machine learning model to determine a live metric characterizing the performance of the POI during a current event. The platform generates a career component vector by updating the live component vector with one or more live metrics determined by the first machine learning model. The platform inputs the career component vector to a second machine learning model to determine a career metric characterizing the long-term performance of the POI during an extended time period.

Abstract: A formula bottle includes two separate sealed chambers, a liquid chamber and a formula chamber. A first seal seals the two chambers from one another and a second seal seals the formula chamber from the nipple on the formula bottle. Rotation of the liquid chamber counterclockwise opens the seal between it and the formula chamber, allowing the formula powder and the liquid to mix. Shaking of the bottle causes the two components to mix completely. In order for the mixed formula to be dispensed to a feeding infant, a bottle collar, which secures the nipple to the formula bottle, is rotated counterclockwise to open the second seal to allow an infant to feed.