System and method for child monitoring and risk management

A method, comprising

• receiving image data,
• detecting, in the image data, a presence of a child using a child detection module,
• after detecting the presence of the child, determining, using an activity prediction module, an activity the child is engaged in based on the image data,
• after the determining the activity the child is engaged in, extracting, using an environmental extraction module, context information related to an environment where the child is engaging in the activity based on the image data, the context information including a set of environmental, situational, and behavioral information that represents a scenario in which the activity is occurring,
• after the extracting the context information, integrating the activity and the context information to generate a structured query,
• inputting the structured query into a pretrained large language model, to obtain a risk assessment for the activity, the risk assessment representing a risk level for the child to perform the activity in the scenario represented by the context information,
• based on the risk assessment for the activity, generating a caretaker alert, and
• transmitting the caretaker alert to a caretaker device.

A non-transitory computer-readable medium having stored thereon, computer executable instructions, which when executed by a computer, cause the computer to execute operations, the operations comprising:

• receiving image data,
• detecting, in the image data, a presence of a child using a child detection module,
• after detecting the presence of the child, determining, using an activity prediction module, an activity the child is engaged in based on the image data,
• after the determining the activity the child is engaged in, extracting, using an environmental extraction module, context information related to an environment where the child is engaging in the activity based on the image data, the context information including a set of environmental, situational, and behavioral information that represents a scenario in which the activity is occurring,
• after the extracting the context information, integrating the activity and the context information to generate a structured query,
• inputting the structured query into a pretrained large language model, to obtain a risk assessment for the activity, the risk assessment representing a risk level for the child to perform the activity in the scenario represented by the context information,
• based on the risk assessment for the activity, generating a caretaker alert, and
• transmitting the caretaker alert to a caretaker device.