Pilot 3: Risk-Based Framework for Crime Prevention

Objective: This pilot aims to identify high-risk areas and crime patterns related to GHB-facilitated assaults using AI-driven forensic intelligence. By leveraging predictive analytics and risk assessment models, law enforcement agencies can implement proactive crime prevention strategies.

How It Works: AI algorithms process historical crime data, forensic reports, and real-time GHB detection results to assess and predict areas where drug-facilitated crimes are most likely to occur. The framework enables law enforcement agencies to deploy targeted interventions effectively.

Impact: This data-driven approach empowers security practitioners to reduce crime rates, allocate resources more effectively, and enhance forensic preparedness in combating GHB-related offenses.