Forschungsfrage/Ziel:

The research group "Trafficking Risks: AI for Proactive Protection" (TRAPP) is developing a cutting-edge decision-support platform designed to transform child trafficking prevention efforts through predictive analytics and actionable insights. TRAPP leverages deterministic modeling and generative artificial intelligence (GenAI) to identify trafficking patterns, spotlight vulnerable communities, and empower law enforcement agencies (LEAs) with interpretable, data-driven insights. By integrating heterogeneous datasets—including socioeconomic indicators and demographic data—TRAPP will generate district-level heatmaps enriched with AI-generated narratives showing the contributing factors behind trafficking risks. This platform goes beyond static predictions: real-time risk assessments and interactive visualizations enable LEAs to proactively deploy resources and disrupt trafficking networks.

Nearly 40,000 Indian children are abducted annually. TRAPP solves systemic challenges such as fragmented datasets and limited LEA capacity for data-driven decision-making. TRAPP’s outputs include a web-based platform with multilingual support, standardized datasets for operational use, and training programs for sustainable adoption by LEAs. By piloting a proof of concept in Odisha, TRAPP aims to protect at-risk children. TRAPP’s scalable design has the potential to disrupt trafficking operations and networks across India.

Aktueller Stand:

This project started in March 2026.