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Data Interview Question

Explosive Threat Detection System

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Requirements Clarification & Assessment

Clarifying Questions:

  • Context of Use: Where will the model be deployed? Is it at a border checkpoint, airport, or another type of transit location?
  • Objective: Is the primary goal to prevent bombs from crossing the border or to detect them before they reach a critical area?
  • Types of Items: What types of items are being screened (e.g., luggage, vehicles, or individuals)?
  • Threat Types: Are we focusing on specific types of explosive devices, such as those with electronic triggers or manually activated bombs?

Data Collection:

  • Historical Data: Gather past data on detected explosive threats, including the context, location, and time of detection.
  • Environmental Factors: Include data on the environment around checkpoints, such as building types, population density, and traffic patterns.
  • Behavioral Data: Collect information on the behavior of individuals crossing the checkpoint, such as body language and facial expressions.
  • Sensor Data: Utilize data from sensors that detect materials associated with explosives, such as chemical signatures or radiological materials.

Output Specification:

  • Binary Classification: The model will output a binary decision indicating the presence (1) or absence (0) of a potential explosive threat.
  • Time Sensitivity: Predictions may need to be made on an hourly basis to ensure timely intervention.

Performance Metrics:

  • Accuracy: Use confusion matrix metrics, focusing on minimizing false negatives (Type II errors) to avoid missing threats.
  • Recall: Prioritize recall to ensure that all potential threats are flagged, even if it increases false positives.