HEALTH DIET PLANNER USING PYTHON

Abstract— This project implements a machine learning-based diet recommendation system using a Decision Tree Classifier. The model is trained on a dataset containing various health parameters, including age, gender, BMI, disease type, severity, physical activity level, and dietary restrictions, to predict an appropriate dietary plan. The system encodes categorical variables, splits the dataset for training and testing, and achieves predictions with high accuracy. The trained model is saved for future use, enabling real-time diet recommendations based on user input. The model suggests personalized meal plans for categories like Low-Carb, Low-Sodium, and Balanced diets, assisting individuals in maintaining optimal health through tailored nutritional guidance. Keywords: Age, BMI, Decision Tree, Health, Support Vector Machines (SVM),