INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Forecasting and Alerting Web App for Burned Calories using Random Forest Algorithm
Authors Name:
MEDAPATI VENKATA SAI RAMI REDDY
, KOLLURU LAKSHMI NARAYANA SETTY , KUMBAGANTI KARTHIK , KONAKALLA REVANTH KUMAR , Mr. V. Ethirajulu
Unique Id:
IJSDR2303136
Published In:
Volume 8 Issue 3, March-2023
Abstract:
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.
Keywords:
Calories, Machine Learning, Random Forest Algorithm, Notification, Email, SMTP.
Cite Article:
"Forecasting and Alerting Web App for Burned Calories using Random Forest Algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.849 - 853, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303136.pdf
Downloads:
000337066
Publication Details:
Published Paper ID: IJSDR2303136
Registration ID:204632
Published In: Volume 8 Issue 3, March-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.33605
Page No: 849 - 853
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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