Poverty Estimation

Traditional ways to measure human well-being through surveys or intense metric compilations are costly and infrequently updated. Remote sensing offers a scalable method that could be easier to iterate over. Using high-resolution imagery from Brazil alongside multidimensional poverty indicators, I developed computer vision pipelines combining CNNs, vision transformers, geospatial tiling strategies, and interpretability tools such as Grad-CAM.