Project overview

Meza is an artificial intelligence (AI) tool to digitise paper records cheaply and quickly using low-end smartphones.

The problem

Nutrition records for millions of malnourished children lie in remote health clinics around the world. This data is difficult to surface for officers designing nutrition interventions remotely. Getting the data to headquarters cheaply and quickly could improve the quality of our interventions.

Photo: WFP/Alice Rahmoun

 

The solution

Meza is an Optical Character Recognition technology to rapidly collect nutrition and related health data from remote, low-resource health clinics, enabling WFP and governments to have the information they need to provide high-quality, context-specific, and timely nutrition support. 

Women using smartphones

 

The way forward

The Meza team is currently running a proof of concept to build upon learnings from the two pilots that were previously run in the Republic of Congo. If the remaining part of Meza that was not tested in the Republic of Congo is validated, Meza will be deployed to one of the WFP country offices that have shown interest in the solution. The proof of concept is expected to be completed by November 2021.

Last updated: 15/10/2021