Paper Title
AI Trainer
Article Identifiers
Authors
Akshay Agrawal , Sanketi Raut , Samiksha Katkar , Akanksha Mohite , Swarangi Patil
Keywords
Artificial Intelligence, MoveNet.
Abstract
Artificial Intelligence (AI) has been transforming various industries and aspects of modern life from healthcare to entertainment and from transportation to education. The impact of AI virtual assistant is vast and it has become an essential part of our everyday lives. As per the different survey report almost 27% of people are using AI virtual assistants for performing their day-to-day activities. AI is an emerging field that we aim to explore through this project of AI- based workout assistants. When it comes to fitness technology, it's critical to include cutting edge machine learning models into programs that improve on the job training and guarantee proper technique. In order to help users, complete physical exercises with perfect form and technique, a unique Artificial Intelligence (AI) trainer application has been developed, as shown in this work. The software tracks user motions in real-time counts the exercise repetitions and offers immediate feedback also remedial recommendations on how the user can improve their form by utilizing MoveNet, a cutting edge pose estimation algorithm created by Google. Utilizing transfer learning techniques more particularly, tailoring the MoveNet model to identify and evaluate a larger range of intricate human movements is essential to this application efficacy. The application can specialize by retraining the last layer of the MoveNet model that has already been trained. The combination of these technologies provides a highly interactive and effective way for users to improve their physical fitness.
Downloads
How To Cite (APA)
Akshay Agrawal, Sanketi Raut, Samiksha Katkar, Akanksha Mohite, & Swarangi Patil (April-2024). AI Trainer. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), g386-g388. https://ijnrd.org/papers/IJNRD2404643.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : g386-g388
Other Publication Details
Paper Reg. ID: IJNRD_219108
Published Paper Id: IJNRD2404643
Downloads: 000121999
Research Area: Engineering
Country: Mumbai, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404643.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404643
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.
Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.
How to submit the paper?
By Our website
Click Here to Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: October 2025
Current Issue: Volume 10 | Issue 10 | October 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 31-Oct-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.
Subject Category: Research Area
Call for Paper: More Details
