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Malnutrition is a condition that arises when a person's diet lacks essential nutrients. Around 390 million people worldwide are underweight, and 890 million adults are obese. The prevalence of obese children and adults is increasing in both rich and poor countries due to the affordability and accessibility of high-fat, high-sugar, and high-salt foods. At the same time, fresh fruits and vegetables, legumes, meat, and milk are often expensive or unavailable to many families, exacerbating the problem. Parents in rural India are uneducated about malnutrition and avoid medical visits due to financial constraints. The Body Mass Index (BMI) is a widely used statistic to evaluate malnutrition, particularly among children under the age of five. This research proposes a technique to combat malnutrition in rural India by developing a machine learning-powered web platform that assesses nutritional needs, provides tailored meal recommendations, and monitors progress all while ensuring accessibility for all types of users.

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Smartmeals: A Dual Approach of Localized Dietary Recommendations and Predictive Model for Combating Child Malnutrition

  • 会议论文

  • 发表日期：

    2026年

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  • Tamminina Ammannamma,
  • Vyjayanti Nandula,
  • Ridhima Thakur,
  • Saranya Gummireddy,
  • Akshaya Juluri

摘要

Malnutrition is a condition that arises when a person's diet lacks essential nutrients. Around 390 million people worldwide are underweight, and 890 million adults are obese. The prevalence of obese children and adults is increasing in both rich and poor countries due to the affordability and accessibility of high-fat, high-sugar, and high-salt foods. At the same time, fresh fruits and vegetables, legumes, meat, and milk are often expensive or unavailable to many families, exacerbating the problem. Parents in rural India are uneducated about malnutrition and avoid medical visits due to financial constraints. The Body Mass Index (BMI) is a widely used statistic to evaluate malnutrition, particularly among children under the age of five. This research proposes a technique to combat malnutrition in rural India by developing a machine learning-powered web platform that assesses nutritional needs, provides tailored meal recommendations, and monitors progress all while ensuring accessibility for all types of users.