
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
WSMCDD-2025
GSMCDD-2025
Conferences Published ↓
RBS:RH-COVID-19 (2023)
ICMRS'23
PIPRDA-2023
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 7 Issue 2
March-April 2025
Indexing Partners



















Workout and Wellness Wizard - Diet and Workout Recommendation Using Classification and Regression Tree
Author(s) | Ms. Yashaswini Sai Sri Laxmi Lankalapalli, Ms. Vasita Puppala, Shanmukhi Rama G |
---|---|
Country | India |
Abstract | In the current scenario, it has become difficult to maintain a healthy lifestyle while meeting our health and diet requirements. It is really important to have proper food intake along with the correct exercises to move towards our health goals. Most of the people are running behind a single fitness plan that is expected to fit for all age groups and all body types. What works for a 25-year-old won’t fit for a 45-year-old. Hence, it is the need of the hour to have an application that can help us in getting recommendations according to our age and health conditions and also to track our progress throughout the fitness journey. This is where the Workout and Wellness Wizard steps into picture. This document outlines the essential requirements for the fitness guide. It portrays both functional and non-functional aspects of the software including its constraints and assumptions influencing its development. This document serves as a medium of communication between various stakeholders such as business analysts, project managers, and technical and non-technical team members. By projecting the requirements of its stakeholders, it gives us an opportunity to make informed decisions while the system’s design and development is in progress. The mentioned requirements enable the development team to create a more robust solution that addresses the main objective that is to create an application which recommends diet and workout plans to the users. |
Keywords | Personalized Diet, Workout, Recommendation, Classification, Regression Tree |
Field | Engineering |
Published In | Volume 7, Issue 2, March-April 2025 |
Published On | 2025-04-12 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i02.41012 |
Short DOI | https://doi.org/g9fb83 |
Share this

E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.
