UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 7
July-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2307746


Registration ID:
522108

Page Number

h359-h367

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Title

Web Based Fitness Workout Video Recommendation System

Abstract

The objective of this project is to create a web-based recommendation system for workout videos that makes use of Body Mass Index (BMI) as a crucial variable for customization. The system's purpose is to offer customers personalized workout video recommendations based on their BMI category, allowing them to perform activities suitable for their fitness level and objectives. A tailored fitness experience that encourages challenging and pleasurable exercises is provided by the system by fusing user BMI data with a carefully chosen collection of exercise videos. To provide a variety of training alternatives, the recommendation system considers elements like intensity, duration, target regions, and difficulty level. To improve the precision and applicability of the recommendations, user comments and preferences are also taken into account.

Key Words

web-based, workout video recommendation system, Body Mass Index (BMI), personalized, fitness level, goals, curated library, exercise routines, user experience, BMI category, body composition

Cite This Article

"Web Based Fitness Workout Video Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.h359-h367, July-2023, Available :http://www.jetir.org/papers/JETIR2307746.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Web Based Fitness Workout Video Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. pph359-h367, July-2023, Available at : http://www.jetir.org/papers/JETIR2307746.pdf

Publication Details

Published Paper ID: JETIR2307746
Registration ID: 522108
Published In: Volume 10 | Issue 7 | Year July-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.35343
Page No: h359-h367
Country: Davangere, Karnataka, India .
Area: Other
ISSN Number: 2349-5162
Publisher: IJ Publication


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