電腦科學與資訊工程科 Computer Science & Information Engineering
190036 Tunisia
Health lead - Your smart guide to allergy safety and healthy and Nutrition Guidance System
Food-related health problems represent a growing global challenge, particularly among children and adolescents, who face heightened risks from both food allergies and unhealthy dietary habits. Food allergies affect approximately 6–10% of children and teenagers and can lead to reactions ranging from mild symptoms to severe, life-threatening anaphylaxis. Although fatal outcomes are rare, accidental allergic reactions remain common and are frequently caused by misinterpretation of food labels. Complex ingredient lists, scientific or alternative allergen names, foreign languages, and unclear cross-contamination warnings create a critical gap between information availability and consumer understanding. At the same time, poor nutrition has contributed to a dramatic rise in obesity and diet-related diseases. According to the World Health Organization, obesity rates have nearly tripled since 1990, with over 390 million children and adolescents aged 5–19 classified as overweight in 2022, including 160 million living with obesity. Adolescents are particularly vulnerable due to increased independence, frequent consumption of processed foods, and limited awareness of food composition. This project proposes Health Lead, an AI-based food decision-support system designed to address these interconnected challenges through a preventive and personalized approach. Health Lead analyzes packaged food products in real time using artificial intelligence and natural language processing to detect allergens, hidden ingredient synonyms, and potential cross-contamination risks. By translating complex labels into clear, user-specific safety assessments, the system reduces errors caused by misunderstanding food information and helps prevent accidental allergic reactions. In parallel, Health Lead evaluates nutritional quality by analyzing calories, sugar, fat, and other key components associated with obesity and diet-related diseases. The system integrates personalized allergy profiles with nutritional analysis to classify foods into three categories: unsafe, safe but unhealthy, and safe and healthy. Additional features include daily food tracking, identification of consumed food items, visualization of potential long-term health impacts of unhealthy eating patterns, and recommendations for healthier alternatives. By combining medical safety constraints with nutrition awareness, Health Lead moves beyond traditional calorie-tracking applications. It empowers users—especially teenagers—to make informed, safer, and healthier food choices, transforming everyday eating decisions into an intelligent, supportive, and health-protective process.