Methods and systems for predicting interruptions in media content

A system, comprising:

• one or more processors;
• and
• memory storing thereon instructions that, as a result of being executed by the one or more processors, cause the system to perform operations comprising:
• accessing initial media stream being presented by a user device, wherein the initial media stream is associated with an initial media source;
• identifying initial media content from the initial media stream;
• applying a machine-learning model to the initial media stream to dynamically predict in real-time an interruption of the initial media content, wherein the interruption is predicted as the initial media stream continues to be presented;
• and
• presenting a different media stream associated with an alternative media source, wherein the different media stream is presented in response to the real-time predicted interruption.

A non-transitory, computer-readable storage medium storing thereon executable instructions that, as a result of being executed by one or more processors of a computer system, cause the computer system to perform operations comprising:

• accessing initial media stream being presented by a user device, wherein the initial media stream is associated with an initial media source;
• identifying initial media content from the initial media stream;
• applying a machine-learning model to the initial media stream to dynamically predict in real-time an interruption of the initial media content, wherein the interruption is predicted as the initial media stream continues to be presented;
• and
• presenting a different media stream associated with an alternative media source, wherein the different media stream is presented in response to the real-time predicted interruption.