UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 12 Issue 5
May-2025
eISSN: 2349-5162

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

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Published Paper ID:
JETIRGV06095


Registration ID:
562292

Page Number

672-680

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Title

AI-Based Sports Fitness Plan Recommendation System

Abstract

With the growing emphasis on health and fitness, artificial intelligence (AI) has emerged as a powerful tool for personalized fitness solutions. This paper presents an AI-based Fitness Plan Recommendation System that generates customized workout routines and dietary plans based on user-specific factors like age, gender, and fitness goals. The system leverages machine learning techniques, including Artificial Neural Networks (ANN) and Reinforcement Learning, to analyze user data and provide adaptive fitness recommendations. Additionally, it offers sports-specific training plans and a fitness tracking module for progress monitoring. By integrating AI-driven recommendations, automated tracking, and real-time feedback, this system enhances user engagement and bridges the gap between traditional fitness coaching and digital innovation.

Key Words

Fitness, Dietary, Recommendations, Tracking

Cite This Article

"AI-Based Sports Fitness Plan Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.672-680, May-2025, Available :http://www.jetir.org/papers/JETIRGV06095.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

"AI-Based Sports Fitness Plan Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. pp672-680, May-2025, Available at : http://www.jetir.org/papers/JETIRGV06095.pdf

Publication Details

Published Paper ID: JETIRGV06095
Registration ID: 562292
Published In: Volume 12 | Issue 5 | Year May-2025
DOI (Digital Object Identifier):
Page No: 672-680
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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