A Quantum-Inspired AI System for Malnutrition Prediction

Malnutrition continues to threaten public health across many developing regions, where late identification of at-risk individuals often translates into avoidable suffering and long-term developmental harm. This paper introduces a quantuminspired artificial intelligence framework that brings together natural language processing, classical machine learning, and parameterized quantum circuits to predict malnutrition risk from textual and socioeconomic information. Raw inputs are first cleaned, toke