Abstract: A computer-implemented method for providing real-time conversational intelligence during live communications includes detecting, by one or more processors of a locally installed software application executing on an agent computing device, activation of a communication application from a user-configured list. The method includes capturing live audio data from the communication application during an active communication session between the agent computing device and a remote device. The method includes generating a real-time transcript of the active communication session based on the live audio data. The method includes applying a trained machine learning model to the real-time transcript to identify conversational state changes. The method includes dynamically generating, based on the identified conversational state changes, one or more real-time guidance prompts displayed on the agent computing device during the active communication session.

Abstract: A server has a processor, an operating system (OS), a database, a tracking module, a crediting module, and a delivering module. The database includes a user's information, revenue statistics, and revenue allocation for at least one organization selected by a user. The tracking module includes tracking relevant user activities with a user ID. The crediting module includes crediting to at least one organization selected by the user in response to the tracking. The delivering module includes delivering information to the user in real-time. The information includes a total contribution made to at least one organization selected by the user and a total contribution made to at least one organization by a community.