Air pollution modeling, even with reduced complexity modeling tools such as InMAP, can have major accessibility barriers for non-specialists. For the present analysis, we developed an open-source Python-based pipeline that streamlines exposure concentration and health impact analyses. The resulting system, called Estimating Concentrations and Health Outcomes -Automated ISRM Resource (ECHO-AIR), aims to lower barriers of entry for rapid estimation of PM2.5 exposure and health assessments.