Mugi Ganaa

This project examines the relationship between U.S. trade policy changes, particularly tariffs, and consumer price movements using data driven and AI based analytical methods. Publicly available economic and trade datasets were collected and cleaned to analyze trends in consumer prices across selected product categories before and after policy changes. Exploratory data analysis and machine learning models were applied to identify patterns, measure price sensitivity, and assess the potential impact of trade policies on consumers. The findings provide insight into how trade policy decisions may influence inflation and consumer costs, demonstrating the value of AI driven analysis for economic and policy evaluation.

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