One of the most compelling challenges of applying computer vision in predicting disease hotspots is the unavailability of labeled earth observation day. In collaboration with Cognizant, Kaushik led the roll out of household labeling in OpenStreetMap to enable high-resolution risk mapping using advanced computer vision algorithms.

With the mapping initiative, computer vision models could be generated with high accuracy, augmenting risk prediction and forecasting for malaria elimination.