Abstract: A machine-learning based (ML-based) system and method for automatically processing one or more documents are disclosed. Initially, data associated with at least one of: first contents and second contents are obtained from data sources. The data are pre-processed to generate pre-processed data. The first contents are classified are classified as at least one of: claim-based contents and non-claim-based contents, using a machine learning (ML) model with prompts. Additionally, the second contents are classified as at least one of: the claim-based contents and the non-claim-based contents, based on intents of the second contents, using the ML model with the prompts. At least one of: the claim-based contents and the non-claim-based contents, are provided as an output, to users on user interfaces associated with electronic devices associated with the users.

Abstract: A method for processing one or more user events is described. The method includes creating a data ingestor instance to process the one or more user events. A user event data associated with a tenant is retrieved, wherein the user event data is retrieved by polling a message store. Further, processing demand for the retrieved user event data is determined. Furthermore, a number of the data ingestor instance required to accommodate the processing demand is predicted. One or more clone ingestor instances are created dynamically based on the predicted number of data ingestor instance. Finally, allocate one or more clone ingestor instances for processing the one or more user events.

Abstract: A method for processing one or more user events is described. The method inlcudes creating a data ingestor instance to process the one or more user events. A user event data associated with a tenant is retrieved, wherein the user event data is retrieved by polling a message store. Further, processing demand for the retrieved user event data is determined. Furthermore, a number of the data ingestor instance required to accommodate the processing demand is predicted. One or more clone ingestor instances are created dynamically based on the predicted number of data ingestor instance. Finally, allocate one or more clone ingestor instances for processing the one or more user events.

Abstract: A machine-learning based (ML-based) system and method for automatically processing one or more documents are disclosed. Initially, data associated with at least one of: first contents and second contents are obtained from data sources. The data are pre-processed to generate pre-processed data. The first contents are classified are classified as at least one of: claim-based contents and non-claim-based contents, using a machine learning (ML) model with prompts. Additionally, the second contents are classified as at least one of: the claim-based contents and the non-claim-based contents, based on intents of the second contents, using the ML model with the prompts. At least one of: the claim-based contents and the non-claim-based contents, are provided as an output, to users on user interfaces associated with electronic devices associated with the users.