Development of a Predictive Analytics Framework for Cybercrime Complaints to Forecast Likely Cash Withdrawal Locations in Advance, Enabling Generation of Actionable Intelligence for Timely and Proactive Cybercrime Intervention.

Source summary

Develop AI/ML forecasting of potential cash-withdrawal hotspots from historical NCRP cybercrime and financial data. Provide GIS risk maps with time/location/crime filters, secure investigator access and notifications to state/local law enforcement, I4C and banks through dashboard, API, SMS or email. The purpose is coordinated preventive response and fund-protection workflows, with locations explicitly predictions rather than evidence that a withdrawal or crime will occur.