Malnutrition remains a critical issue affecting children worldwide, leading to severe health, developmental, and mortality outcomes. Despite significant global efforts to combat this problem, corruption frequently undermines the effectiveness of monetary aid for nutritional programs. Funds often fail to reach their intended recipients due to misappropriation, fraud, and inefficiencies, exacerbating the plight of vulnerable children. However, advances in technology present new avenues to address these challenges. Digital tools, mobile applications for monitoring nutritional intake, and data analytics for optimizing resource allocation can enhance accountability and efficiency. Here, we present a scalable model of permanent monitoring, data collection, and real-time reporting that has the potential to mitigate the impact of corruption, ensuring that aid reaches those in need and improving the nutritional status of children globally. The presented proof of concept displays a framework in a remote region where child malnutrition is endemic, and the proposed technological platform supports the operation with real-time reporting and data analytics on demand.