Policy Reform Detection with LLMs

Automated identification of structural reforms in Latin American media

Developed an innovative Large Language Model (LLM) solution for the Inter-American Development Bank (IADB) to automatically detect and classify structural reforms across Latin American countries through news media analysis.

The tool streamlines the traditionally manual process of monitoring policy changes by scanning and analyzing newspaper articles, providing the IADB with a systematic approach to track economic and social reforms across the region.

This automated system enhances the bank's ability to maintain an up-to-date understanding of policy landscapes across Latin America, supporting more informed decision-making and policy research.