HUMANITARIAN

Global Violence Incident Detector

A humanitarian organization needed an automated system to identify incidents of violence across 80 countries from news and data feeds, replacing manual monitoring.

Countries Monitored80
DetectionReal-time
CloudGCP
THE CHALLENGE

A humanitarian organization needed an automated system to identify incidents of violence across 80 countries from news and data feeds, replacing manual monitoring.

OUR APPROACH

Productionized a time series outlier detector as a web app and REST API on GCP, with automated alert systems triggered when violence patterns deviate from historical baselines.

RESULTS

Project Outcome

Deployed system automatically monitoring 80 countries and sending real-time alerts when violence incidents are detected, dramatically reducing response time for humanitarian interventions.

80
Countries Monitored
Real-time
Detection
GCP
Cloud
TECHNOLOGY

Built With

PythonGCPREST APITime Series AnalysisNLP
AI/MLTime SeriesGCPHumanitarian
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