• Version
• Download 13
• File Size 546.23 KB
• File Count 1
• Create Date 16 June 2025
• Last Updated 19 June 2025

HEALTH DIET PLANNER USING PYTHON

A.Varsha Sree1, M.Poojitha Reddy 2, .S.Vishal3, N. Sriram4, J. Priyanka5, T. Rashmith6

1 UG Scholar, Department of CSD, Siddhartha Institute of Technology and Sciences-Hyderabad-

2,3,4,5,6 UG Scholar,

121tq1a6744@siddhartha.co.in ,2 21tq1a6728@siddhartha.co.in , 3 21tq1a67405@siddhartha.co.in,

4 21tq1a6744@siddhartha.co.in , 5 jalagapriyanka.cse@siddhartha.co.in,6 rashmithsunny2@gmail.com

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),