Automated Menu Planning Algorithm for Children: Food Recommendation by Dietary Management System using SVM, RF, DT for Indian Food Database

In recent years, childhood obesity and related health issues have become a major concern worldwide. Proper nutrition is crucial for children’s growth and development, making it essential to ensure they have a balanced and nutritious diet. This study presents an innovative approach to address this issue through an Automated Menu Planning Algorithm for Children (AMPAC). AMPAC utilizes a Dietary Management System powered by the SVM, RF, DT (Iterative Dichotomiser 3) decision tree algorithm, specifically designed for the Indian food context. The proposed system leverages a comprehensive Indian Food Database, encompassing diverse and culturally relevant food items. By integrating the SVM, RF, DT algorithm, AMPAC can analyze the nutritional content of various foods and recommend suitable meal plans based on specific dietary requirements. The system considers essential factors such as age, gender, body mass index (BMI), and any existing health conditions to create personalized and balanced menus. To validate the effectiveness of AMPAC, extensive testing and evaluation have been conducted using a diverse group of participants, including children, parents, and nutrition experts. The results demonstrate the system’s accuracy, efficiency, and user satisfaction, highlighting its potential to revolutionize menu planning for children and promote healthier eating habits. This research contributes to the fields of nutrition, computer science, and public health by offering an innovative solution to address the critical issue of childhood nutrition. AMPAC’s user-friendly interface and intelligent algorithm empower users to make informed food choices, ultimately fostering a healthier and happier future generation.