Forecasting and Alerting Web App for Burned Calories using Random Forest Algorithm

MEDAPATI VENKATA SAI RAMI REDDY , KOLLURU LAKSHMI NARAYANA SETTY , KUMBAGANTI KARTHIK , KONAKALLA REVANTH KUMAR , Mr. V. Ethirajulu

Calories, Machine Learning, Random Forest Algorithm, Notification, Email, SMTP.

Because of the changes in their lifestyles and professional responsibilities, many today have incredibly busy schedules. But to be fit and healthy, you need to exercise frequently. Obesity results from people not paying attention to their eating behaviour’s. Obesity is becoming a serious and widespread issue in today's society. In order to keep fit and healthy, it advises people to choose their food and exercise equally. People should be adequately informed about how many calories they consume and expend. Calorie intake tracking is simple because it's provided on product labels or the internet, but tracking calories burned is challenging because few gadgets are available. Based on MET charts and calculations, calories burnt by an individual calculated. The major goal of this study is to accurately forecast the number of calories burned using a random forest algorithm model as the machine learning method. The random forest method model has been fed with a lot of data. After predicting the how many calories have burned, system will send notification to the user’s email.

Published Paper   E-Certificate

"Forecasting and Alerting Web App for Burned Calories using Random Forest Algorithm", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.849 - 853, March-2023, Available :https://ijsdr.org/papers/IJSDR2303136.pdf

Volume 8 Issue 3, March-2023

Pages : 849 - 853

Paper Reg. ID: IJSDR_204632

Published Paper Id: IJSDR2303136

Downloads: 000347224

Research Area: Engineering

Country: Ravulapalem, Andhra Pradesh, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2303136

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2303136

DOI: http://doi.one/10.1729/Journal.33605

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition