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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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| Paper Title: | YogAI: An AI Based Yoga Trainer |
| Authors Name: | Jay Kiran Shimpi , Mayur Hiraman Raut , Sanket Suresh Patil , Arpit Anil Ahire |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_214443
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| Published Paper Id: | IJNRD2402342 |
| Published In: | Volume 9 Issue 2, February-2024 |
| DOI: | |
| Abstract: | The project “YogAI” addresses the need for an innovative solution to enhance yoga practice by leveraging real-time pose detection and intelligent feedback generation. In a world increasingly focused on physical and mental well-being, YogAI aims to provide a unique and accessible approach to personalized yoga training through a user-friendly Android application. The specific objectives of YogAI include guiding users through their yoga practice, ensuring correct posture and alignment, tracking progress over time, providing a real time voiced feedback based on user performance hence offering a comprehensive yoga companion experience. To achieve these goals, YogAI utilizes machine learning models for pose detection, allowing users to receive instant feedback on their poses. The app also offers guided workouts and the ability to monitor vital signs for safe and effective yoga sessions. The approach of YogAI involves the integration of machine learning frameworks, Android app development and voiced feedback generation. The results expected include an engaging and effective yoga training tool that caters to users of all skill levels. YogAI will empower users to improve their yoga practice, manage stress, and prioritize their well-being. YogAI represents an innovative fusion of technology and wellness, offering a practical solution for individuals seeking to enhance their yoga experience. This project aims to make yoga accessible, enjoyable, and effective for everyone, promoting physical and mental health in an increasingly hectic world. |
| Keywords: | Android development, Machine Learning, Pose Detection, Text to Speech, Feedback generation, Yoga and Fitness. |
| Cite Article: | "YogAI: An AI Based Yoga Trainer", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 2, page no.d400-d404, February-2024, Available :http://www.ijnrd.org/papers/IJNRD2402342.pdf |
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| 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:IJNRD2402342 Registration ID: 214443 Published In: Volume 9 Issue 2, February-2024 DOI (Digital Object Identifier): Page No: d400-d404 Country: Nashik, Nashik, Maharashtra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2402342 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2402342 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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