Systems and methods for determining data misappropriation using advanced computational models for data analysis and automated processing

A computer program product for determining data misappropriation using advanced computational models for data analysis and automated processing, the computer program product comprising a non-transitory computer-readable medium comprising code causing an apparatus to:

• receive, via a user device associated with a user, a communication message comprising either an incoming communication message or an outgoing communication message, wherein the communication message is either transmitted to or received from a caller device, and wherein the communication message comprises real-time voice communication between the user and a caller;
• transform, via an ASR engine, the communication message to a text message;
• predict, via a LLM, the caller's communication message prior to the caller's communication message being delivered to the user;
• classify, via a classification model, the caller's predicted communication message;
• extract one or more key details from the text message, wherein the key details comprise the caller's name, the company associated with the caller, and the caller device's address;
• verify the one or more key details via comparing the one or more key details with a database;
• generate a classification notification comprising the classification of the caller's predicted communication message, wherein the classification notification configures a graphical user interface of the user device;
• generate a verification notification comprising a verification status of the one or more key details, wherein the verification notification configures the graphical user interface of the user device;
• and
• transmit the classification notification and the verification notification to the user device.

A method for determining data misappropriation using advanced computational models for data analysis and automated processing, the method comprising:

• receiving, via a user device associated with a user, a communication message comprising either an incoming communication message or an outgoing communication message, wherein the communication message is either transmitted to or received from a caller device, and wherein the communication message comprises real-time voice communication between the user and a caller;
• transforming, via an Automatic Speech Recognition (ASR) engine, the communication message to a text message;
• predicting, via a Large Language Model (LLM), the caller's communication message prior to the caller's communication message being delivered to the user;
• classifying, via a classification model, the caller's predicted communication message;
• extracting one or more key details from the text message, wherein the key details comprise the caller's name, the company associated with the caller, and the caller device's address;
• verifying the one or more key details via comparing the one or more key details with a database;
• generating a classification notification comprising the classification of the caller's predicted communication message, wherein the classification notification configures a graphical user interface of the user device;
• generating a verification notification comprising a verification status of the one or more key details, wherein the verification notification configures the graphical user interface of the user device;
• and
• transmitting the classification notification and the verification notification to the user device.