Body Fat Prediction Using Machine Learning

K. Tulasi Krishna Kumar 1, G. Lakshith2

1 Associate Professor & Training & Placement Officer,

2 MCA Final Semester, Master of Computer Applications, Sanketika Vidya Parishad Engineering College, Vishakhapatnam, Andhra Pradesh, India

tulasikrishnakumar@gmail.com, lakshithgummadi2003@gmail.com

Abstract: Body fat is a key indicator of health and fitness. Accurate prediction of body fat can assist individuals in understanding their physical condition, planning diet and exercise, and preventing health issues. This project introduces a web-based machine learning solution to predict body fat percentage using basic physiological inputs such as age, weight, height, and body measurements. A trained Random Forest regression model handles the predictions, while a user-friendly interface built with Flask allows interaction. The system also provides actionable recommendations such as diet plans and exercise routines based on prediction outcomes. This solution bridges the gap between complex predictive modeling and everyday health management.

Key words: Body fat prediction, health monitoring, machine learning, Flask, regression model, user interface, Random Forest, fitness recommendation.[7]