Abstract: The face recognition and identification system comprises a camcorder configured to capture facial image with and without facial accessories; an image pre-processing unit to normalize the captured facial image thereby create window and apply a Haar like features; a feature extraction unit to extract a set of features from the pre-processed facial image; a classifier to classify the set of features in groups including facial image with and without facial accessories; a control unit comprises an artificial intelligence face acknowledgment model to recognize a face and identify a person with and without facial accessories upon comparing the set of features with an image database stored in a cloud server; and a user interface to show the identified person, wherein the user interface concludes the credibility of the individual's face contingent upon the perceived face certainty level, wherein the higher the certainty level the higher the genuineness of the individual.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to facilitating predicting brand personality. In one embodiment, target content for which brand personality prediction is desired is obtained. Content features associated with the target content are identified. Such content features and a brand personality prediction model are used to predict a brand personality of the target content, the brand personality indicating personality of a brand associated with the target content.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to facilitating predicting brand personality. In one embodiment, target content for which brand personality prediction is desired is obtained. Content features associated with the target content are identified. Such content features and a brand personality prediction model are used to predict a brand personality of the target content, the brand personality indicating personality of a brand associated with the target content.

Abstract: A model validation system is provided. The model validation system includes a memory having computer-readable instructions stored therein and a processor. The processor is configured to execute the instructions to enable a model validator to select a model for validation from an assigned set of models, each including a plurality of pre-defined attributes; assist interactions between a model developer and the model validator by defining a set of questions related to the selected model and identify a plurality of model risks for the selected model; design a validation work plan using a set of statistical tests and execute a set of selected statistical tests for the validation work plan to generate a set of validation results of the selected model and categorize the plurality of model risks into one or more categories. The categorization is performed based upon set of validation results obtained during the validation of the selected model.