Abstract: Systems and method are provided for authenticating a user of a communication session. A computing device may receive a video frame from a communication session between a first user device and a second user. The computing device may extract at features from the video frame and execute a neural network using the set of features. The neural network may be configured to generate a depth map of a user represented in the video frame. The computing device may authenticate a user of the first user device by matching the depth map to a second depth map associated with an authenticated user. Upon authenticating the user, the computing device may generate a third depth map by merging the depth map with the second depth map. The third depth map may be used to authenticate the user during a subsequent communication session involving the user.

Abstract: Methods and systems are described herein for generating a communication session environment on a multi-channel service platform. The method comprises receiving a request to establish a communication session between one or more user devices. A first user device may be associated with a healthcare provider and a second user device may be associated with a patient. The method may further comprise receiving user profile data, wherein the user profile data pertains to at least one of the one or more user devices of the communication session. A communication session environment may be generated based on the user profile data configured to manage the communication session. The method may further comprise receiving, from the first user device, a communication associated with the user profile data, and generating an object using the communication within the communication session environment.

Abstract: A generative machine-learning model may be trained using communication session data to tailor a generative model on particular classes of communications. A set of communications sessions may be received with each communication session including, for example, communications between a doctor and a patient. A set of features may be generated by a natural language model from communications extracted from the communication sessions. A subset of the set of communication sessions may be defined based on the set of features. A training dataset may be defined using the subset of the set of communication sessions and used to train a machine-learning model. The machine-learning model can be configured to generate one or more contexts associated with a feature of the set of features. Upon receiving a request associated with a particular, a response may be generated using the machine-learning model and a feature vector derived from the request.

Abstract: Methods and systems are described herein for implementing a multi-channel service platform that facilitates communication sessions between one or more user devices on an audio platform. The method may comprise intercepting a first audio segment over an audio channel of a communication session between a first user device and a second user device. The audio segment is transmitted by the second user device. The method may further comprise identifying user profile data associated with the first user device, and generating, based on the user profile data, a second audio segment using a machine-learning model. The second audio segment is contextually related to the first audio segment. The method may further comprise transmitting, to the first user device, the second audio segment over the audio channel of the communication session. When received by the first user device, the second audio segment is presented over a portion of the first audio segment.

Abstract: The method and system described herein may include receiving a request to conduct a communication session between one or more user devices. A first user device of the one or more user devices may be a healthcare provider. The method may further comprise receiving user profile data, wherein the user profile data pertains to at least one or the one or more user devices of the communication session. Additionally, the method may detect communications between the one or more user devices over a duration of the communication session. The method may further comprise generating an object using a machine-learning model and presenting the object to at least one of the one or more user devices.

Abstract: Methods and systems are described herein for presenting historical multi-channel service platform sessions. The method comprises receiving a request to establish a communication session between one or more user devices. A first user device may be associated with a healthcare provider and a second user device may be associated with a patient. The method may further comprise receiving user profile data, wherein the user profile data pertains to at least one of the one or more user devices of the communication session. One or more post-session environments may be generated that are associated with the one or more user devices. The one or more post-session environments are configured to allow the one or more user devices to evaluate content associated with the communication session after the virtual communication session concludes. A communication may be transmitted to the one or more user devices containing a link to a post-session environment.