Abstract: A computing system receives video data and non-video data from a user device for generation of an avatar corresponding to a user of the user device. The computing system generates an avatar reflective of the appearance and the behavior of the user by inputting the video data and non-video data to a generative machine learning model trained to generate highly realistic avatars for users. The avatar may look, behave, sound, and interact like the user. The video data is pre-processed to remove background information from the video data and isolate the user within the video data. The computing system clones a voice of the user for use with the avatar. The computing system stores the avatar and the cloned voice of the user in a network accessible location. The computing system deploys the avatar in a third-party application for real-time or near real-time interaction with a second user.

Abstract: A computing system receives video data and non-video data from a user device for generation of an avatar corresponding to a user of the user device. The computing system generates an avatar reflective of the appearance and the behavior of the user by inputting the video data and non-video data to a generative machine learning model trained to generate highly realistic avatars for users. The avatar may look, behave, sound, and interact like the user. The video data is pre-processed to remove background information from the video data and isolate the user within the video data. The computing system clones a voice of the user for use with the avatar. The computing system stores the avatar and the cloned voice of the user in a network accessible location. The computing system deploys the avatar in a third-party application for real-time or near real-time interaction with a second user.

Abstract: Systems and methods for conversational avatar systems are disclosed herein. The systems and methods may include receiving, via a computing system, an input comprising speech data; generating, via the computing system, a transcript of the speech data in real-time; analyzing, via the computing system, the transcript in real-time; generating, via the computing system, a response to the transcript in real-time based on the tagging; selecting, via the computing system, one or more avatar animation gestures based on tone and speech patterns of the generated response; synthesizing, via the computing system, an audible response based on the generated response; synchronizing, via the computing system, the one or more avatar animation gestures to the synthesized audible response to form a synchronized avatar animation; and rendering, via the computing system, the synchronized avatar animation.

Abstract: Systems and methods for user-generated holographic avatars are disclosed herein. The systems and methods may include receiving, via a computing system, at least one of video data and audio data of a user; inputting, via the computing system, the video data and/or audio data to an AI model, wherein the AI model may be configured to stitch one or more motions captured in the video data, synchronize lip movements captured in the video data with the audio data, and synthesize expressions based on the video data and/or audio data; generating, by the AI model via the computing system, a holographic avatar based on the video data and/or audio data; and storing, via the computing system, avatar creation metadata based on the generation of the holographic avatar in a block of a blockchain.