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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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Issue: May 2024
Volume 9 | Issue 5
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| Paper Title: | AI Trainer |
| Authors Name: | Akshay Agrawal , Sanketi Raut , Samiksha Katkar , Akanksha Mohite , Swarangi Patil |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_219108
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| Published Paper Id: | IJNRD2404643 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| 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. |
| Keywords: | Artificial Intelligence, MoveNet. |
| Cite Article: | "AI Trainer", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g386-g388, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404643.pdf |
| Downloads: | 00046 |
| 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 |
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Published Paper ID:IJNRD2404643 Registration ID: 219108 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: g386-g388 Country: Mumbai, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404643 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404643 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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