Dynamic progress recognition and recommendations based on machine learning

摘要

Systems for dynamically recognizing progress and generating recommendations are provided. In some examples, a system may image data from an augmented reality device. The image data may include video images, still images, images of machine-readable code, and the like. The received image data may be analyzed in real-time to identify an object within the data. In some examples, machine learning may be used to identify one or more characteristics of the object. The identified characteristics may be compared to one or more pre-defined goals or limits and a notification may be generated based on the comparison. The notification may be transmitted to the augmented reality device and displayed on the augmented reality device. In some examples, based on the comparison, machine learning may be used to generate one or more recommendations and a notification may be generated including the recommendations and may be transmitted to the augmented reality device for display.