  Public feeding programs continue to be a major source of nutrition to a large
part of the population across the world. Any disruption to these activities,
like the one during the Covid-19 pandemic, can lead to adverse health outcomes,
especially among children. Policymakers and other stakeholders must balance the
need for continuing the feeding programs while ensuring the health and safety
of workers engaged in the operations. This has led to several innovations that
leverage advanced technologies like AI and IOT to monitor the health and safety
of workers and ensure hygienic operations. However, there are practical
challenges in its implementation on a large scale. This paper presents an
implementation framework to build resilient public feeding programs using a
combination of intelligent technologies. The framework is a result of piloting
the technology solution at a facility run as part of a large mid-day meal
feeding program in India. Using existing resources like CCTV cameras and new
technologies like AI and IOT, hygiene and safety compliance anomalies can be
detected and reported in a resource-efficient manner. It will guide
stakeholders running public feeding programs as they seek to restart suspended
operations and build systems that better adapt to future crises.
