| Autor: |
Nunna Karishma, Nikhil Raj Yammani, Sri Harsha B, Prithwee Reddei, Venkataravana Nayak |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
International Journal for Research in Applied Science and Engineering Technology. 11:4361-4366 |
| ISSN: |
2321-9653 |
| DOI: |
10.22214/ijraset.2023.52637 |
| Popis: |
Incorporating regular exercise into these daily routines has grown more difficult in today's fast-paced environment. To maintain perfect form and avoid injuries, training must include individualized coaching and feedback. However, it can be challenging for people to attend regular gym sessions or hire personal trainers due to the limitations of time, money, and accessibility. The ongoing global epidemic has also made it harder for people to access physical exercise centres and in-person instruction. This provides an original solution called the AI Fitness Tracker to address these issues. This paper uses artificial intelligence (AI) to develop a virtual workout assistant that can track exercise form and technique and provide real-time feedback. This goal is to create a smart system that will allow customers to exercise safely and effectively from the convenience of their homes. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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