GBT Technologies Inc. (OTC PINK: GTCH) (“GBT” or the “Company”) with GBT Tokenize Corp. (“GBT/Tokenize”) received a notice of allowance for its facial and body recognition non-provisional patent application. The patent describes a pioneering technology for studying, identifying and recognizing features of an image, such as a human face or body. The patent application seeks to protect techniques to apply machine-learning to classify human facial and bodily features, enabling locking and unlocking functions for smartphone and computers. The described concepts are designed to learn and identify humans with/without facial or body coverage using advanced geometrical engine analysis. The invention incorporates proprietary image calibration algorithms to transform data from a point detector to evaluate a three-dimensional figure of a person. The technology is designed to use neural networks that learn the image’s data, identifying unique features of a user’s face or body and then mapping them into a database. An expert system then uses this information to construct a three-dimensional object model of the image. The techniques used in the technology are designed to use a machine learning based, three-dimensional modeling to construct and identify an in-depth figure in real-time. The described algorithms can learn features of a human face and body based on a complete or partial view where parts of the face or body are covered and identify the object’s biometric variations and predict bodily changes like weight gain and other health related attributes.