Rental Assistance Improves Food Security and Nutrition: An Analysis of National Survey Data

This project looks at how rental assistance – a key socio‑economic support – affects what families eat. We use national survey data that combine housing information with health measures to see whether easing housing costs improves diet quality and food security. The study compares two groups: households that receive rental help and those that do not. We track changes in daily fruit and vegetable intake and in food‑security scores for each group. For a B.Tech Food Technology program, we build a data‑driven framework that assesses nutrition. The framework: – Models how people’s eating patterns change when they have more money left over. – Simulates whether their diets meet nutritional standards

based on the level of economic relief. – Uses statistical analysis and dietary‑modeling tools to measure the nutritional shift that comes from better financial liquidity. The system also gives step‑by‑step guidance for creating predictive models that link socio‑economic factors to micro‑ and macronutrient intake. In the end, the research supports the development of digital nutrition‑monitoring tools. These tools help public‑health engineers and food technologists evaluate, forecast, and reduce nutrient gaps in vulnerable populations by testing targeted interventions.

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