What is the challenge? 

The primary challenge addressed by this project is the accurate identification of malnourished children in resource-limited settings, especially in Sub-Saharan Africa and South Asia. Traditional methods of measuring child growth are prone to human error and can be time-consuming and inefficient. This leads to delays in diagnosis and treatment, which can have severe consequences for the health and development of children.

What is innovative about the project? 

This project is pioneering due to its utilization of AI and advanced sensortechnology to transform child anthropometry.The project leverages 3D computer vision and AI technology to improve the accuracy and efficiency of child growth measurements. The AI-driven tool, known as the Child Growth Monitor (CGM), captures anthropometric measurements using 3D computer vision, reducing human error and providing more precise data. This innovative approach allows for real-time monitoring and assessment of child nutrition, enabling timely interventions and better resource allocation.

What are the expected outcomes? 

The project aims to enhance the accuracy and efficiency of child growth measurements, leading to better diagnosis and treatment of malnutrition. It is expected to benefit malnourished children under five in resource-limited settings by providing more accurate, efficient, and timely anthropometric measurements. Caregivers and families will benefit from having well-nourished children who do not require ongoing medical care for malnutrition-related illnesses. Health workers will have a user-friendly, AI-driven tool for nutritional assessment, and policymakers and humanitarian organizations will benefit from improved data quality for more effective interventions and resource allocation.

Who are the project partners? 

The project is led by UNICEF and collaborates with Welthungerhilfe (WHH), the largest German-based non-denominational international NGO dedicated to combating hunger and malnutrition globally. The project will do an open market dialogue to find private sector partners.