RAG-Based AI for Sustainable Nutrition: A Food Systems Solution for Hypertension and Cardiovascular Disease Management

This Streamlit-based application provides a visual, interactive dashboard to analyze the nutritional content of personalized smoothie recipes. It is tailored for individuals managing high blood pressure or cardiovascular disease and adheres to the DASH (Dietary Approaches to Stop Hypertension) dietary guidelines. Users can compare nutrients like sodium, potassium, fiber, and saturated fat with recommended thresholds via bar and radar charts. Each nutrient is accompanied by plain-language explanations to improve public understanding and promote healthier dietary decisions. This tool supports personalized nutrition education, digital health interventions, and health research. The app is lightweight, easy to run locally, and optimized for reproducibility. Main Features: Nutrient bar and radar plots for quick comparison DASH threshold compliance visualization Nutrient function explanations Ready-to-run Streamlit app (Python) Target Audience:Healthcare researchers, clinicians, dietitians, educators, and individuals seeking DASH-aligned nutritional insights. Repository: Included in the Zenodo archiveLicense: Open for academic and non-commercial use本应用基于Streamlit（Streamlit）框架，打造可视化交互式仪表板，用于分析个性化冰沙配方的营养成分。本产品专为高血压或心血管疾病患者定制，严格遵循DASH（Dietary Approaches to Stop Hypertension）膳食指南。 用户可通过柱状图与雷达图，将钠、钾、膳食纤维及饱和脂肪等营养成分与推荐阈值进行对比；每种营养成分均配有通俗易懂的科普说明，以提升公众认知并助力更健康的膳食决策。 本工具可应用于个性化营养教育、数字健康干预及健康研究领域；该应用轻量化设计，支持本地快速部署，并针对可复现性进行了优化。 核心功能： - 营养成分柱状图与雷达图，实现快速对比 - DASH膳食指南阈值合规性可视化 - 营养成分功能科普说明 - 可直接运行的Streamlit（Streamlit）Python应用 目标受众：医疗研究人员、临床医师、营养师、教育工作者，以及寻求符合DASH膳食标准的营养相关信息的人群。 存储库：收录于Zenodo存档中 许可协议：可免费用于学术与非商业用途。