Predicting Poverty Level from Satellite Imagery

Abstract

The eradication of poverty remains a global challenge, requiring innovative approaches that leveragemodern technologies. This study introduces a novel methodology for predicting poverty levels using high-resolution satellite imagery and machine learning techniques. The primary objective is to provide a cost-effective and scalable solution for assessing poverty in regions where traditional survey-based methods