Paper Key : IRJ************190
Author: Akshatha A Raikar,Swarnalatha
Date Published: 13 Jul 2024
Abstract
This research introduces a thorough method for XGBoost algorithm-based daily calorie burn prediction. The project incorporates a number of functions, such as password recovery, user registration, login, and predictions based on user data, including height, weight, age, gender, work duration, body temperature, and heart rate. Furthermore, the Edamam and Wger APIs are used by the system to recommend meals and exercises, respectively. The exercise.csv and calories.csv datasets were obtained from Kaggle for this research.
DOI Requested