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You are here: Home / Category / Grain ATMs and AI Hunger Maps Highlighted at UN Agency Showcase in India

Grain ATMs and AI Hunger Maps Highlighted at UN Agency Showcase in India

Dated: February 19, 2026

At the Artificial Intelligence Impact Summit in India, the United Nations World Food Programme (WFP) showcased a range of innovations demonstrating how data and machine learning are being applied to strengthen food and nutrition systems at scale. Technologies featured ranged from biometric grain dispensers and smart warehouses to crisis-mapping platforms and humanitarian communication avatars, highlighting the practical applications of AI in humanitarian operations.

One of the most prominent innovations is Annapurti, a “grain ATM” that allows beneficiaries of public food programs to authenticate with biometrics and collect rations quickly, accurately, and with dignity. WFP India Representative Elisabeth Faure explained that the system enables families to access grain without sacrificing a day’s wages, providing 24/7 service. The technology is already scaling nationally in India and has expanded into neighboring Nepal.

Smart warehouses were another focus, where sensors monitor moisture, pests, and stock levels in real time, helping prevent food spoilage and improve supply-chain management. Route-optimization tools were also highlighted, supporting India’s vast public distribution network, which delivers food to over 800 million people each month through more than 600,000 shops, reducing delivery times and lowering carbon emissions.

Global-level AI tools were presented as well, including platforms that allow agencies to rapidly assess crises and determine required supplies while optimizing delivery routes. WFP Chief Data Officer Magan Naidoo emphasized that AI can transform data into a strategic asset, improving operational efficiency, accelerating emergency response, and strengthening food systems. Predictive analytics, early-warning systems, and optimized logistics are estimated to boost efficiency and forecasting accuracy by 30 to 50 per cent.

The summit also highlighted local innovation through a hackathon focused on closing last-mile nutrition gaps. Participants developed AI-powered solutions integrated with government programs, including school meals and community nutrition services. Winning ideas included linking school meals with community gardens, creating a mobile nutrition app, and developing a system to predict child malnutrition risks. WFP India stressed that grassroots innovation is essential to address persistent last-mile challenges despite strong safety-net programs.

UN Resident Coordinator in India Stephan Priesner highlighted India’s role as a testing ground for global solutions, noting that innovations developed here can be adapted and scaled in other countries through South-South cooperation. WFP emphasized that while AI alone will not end hunger, when combined with partnerships, policy support, and local ingenuity, it can dramatically expand the reach and effectiveness of humanitarian action.

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