Mumbai slums are apocalyptic. We visited a mother of four, who had a seriously malnourished child that was treated in a program by Action Contre la Faim (ACF). With her family of 6, she lives on 10 sqm, no window, no water, no sanitation facilities nearby, and directly bordering to a dark and narrow lane, which runs through the slums.
The App Detects Hunger Much More Efficient
The Child Growth Monitor could make the work in such areas much more efficient. With the Child Growth Monitor, teams of ACF, could identify and support more malnourished children and, at the same time, improve their analysis and ease their reporting.
That’s why we ran a pre-test of the Child Growth Monitor in Mumbai’s slum areas, where we partner with ACF, an organization which is specialized in identifying and treating malnutrition. The purpose of the test was to collect early feedback on the app from field workers, and to assess the quality of the data we can expect both from the anthropometric measures as well as the scans. Five teams of ACF measured a couple of children twice - manually and through the app scan.
During the next weeks, our primary focus is on building the architecture for the machine learning. This will also help us to further define the scanning process, and the number of scans needed for each child to get accurate readings. Starting in April, we will collect further data and experience from the ACF outreach centers in the slums of Mumbai. In those centers malnourished children are followed up and treated – and we can collect experiences on how the Child Growth Monitor could perform in ongoing interventions.