Systems and methods for state-based risk analysis and mitigation for exam registration and delivery processes

A system, comprising:

• a data store server comprising:
• a candidate data store that includes candidate data corresponding to a candidate;
• a test center data store that includes test center data corresponding to a test center;
• an exam data store that includes exam data corresponding to an exam;
• an exam registration event data store that includes exam registration event data related to an exam registration event during which the candidate registered to take the exam at the test center;
• a proctor data store that includes proctor data corresponding to a proctor;
• and
• an exam delivery event data store that includes exam delivery event data related to an exam delivery event during which the candidate has taken the exam at the test center, exam delivery event being supervised by the proctor, and the exam delivery event data being periodically updated during the exam delivery event, wherein the candidate, the exam, the test center, the exam registration event, the proctor, and the exam delivery event are each associated with an exam registration and delivery process;
• a model server connected to the data store server via an electronic communication network, the model server comprising:
• a plurality of machine learning models including a candidate machine learning model, a test center machine learning model, an exam machine learning model, an exam registration event machine learning model, an exam delivery event machine learning model, a proctor machine learning model, a country machine learning model, and an aggregate machine learning model;
• and
• a resource management server including a resource management processor and being connected to the data store server and the model server via the electronic communication network, the resource management processor configured to execute computer-readable instructions for:
• receiving an electronic notification defining a state of the exam registration and delivery process;
• determining, based on the electronic notification, that the state is a real-time exam delivery event state;
• identifying the candidate, the test center, the exam, the exam registration event, the proctor, and the exam delivery event as being associated with the exam registration and delivery process in the real-time exam delivery event state in response to determining that the state is a real-time exam delivery event state;
• causing the model server to retrieve the candidate data, the test center data, the exam data, the exam registration event data, and the proctor data from the data store server;
• causing the model server to periodically retrieve the exam delivery event data from the data store server as the exam delivery event data is updated during the exam delivery event;
• causing the candidate machine learning model of the model server to generate a candidate risk score based on the candidate data;
• causing the test center machine learning model of the model server to generate a test center risk score based on the test center data;
• causing the exam machine learning model of the model server to generate an exam risk score based on the exam data;
• causing the exam registration event machine learning model of the model server to generate an exam registration event risk score based on the exam registration event data;
• causing the exam delivery event machine learning model of the model server to periodically generate an exam delivery event risk score based on the exam delivery event data, such that the exam delivery event risk score is updated as the exam delivery event data is updated;
• causing the proctor machine learning model of the model server to generate a proctor risk score based on the proctor data;
• causing the country machine learning model of the model server to generate country risk score based on at least a portion of the candidate data and at least a portion of the test center data;
• causing the aggregate machine learning model of the model server to periodically generate an aggregate risk score based on inputs including the candidate risk score, the exam registration event risk score, the test center risk score, the exam risk score, the exam delivery event risk score, the proctor risk score, and the country risk score, such that the aggregate risk score is updated as the exam delivery event risk score is updated;
• periodically receiving the aggregate risk score from the model server during the exam delivery event;
• determining that the aggregate risk score exceeds a predetermined threshold;
• and
• modifying a database entry during the exam delivery event, in response to determining that the aggregate risk score exceeds the predetermined threshold, to cause a live video feed of the exam delivery event to be sent to the proctor.