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POSE FIT TRACKER WITH GYM MANAGEMENT SYSTEM

  • Unique Paper ID: 178417
  • Volume: 11
  • Issue: 12
  • PageNo: 4981-4989
  • Abstract:
  • The rapid advancements in artificial intelligence and computer vision have covered the way for smart fitness solutions that enhance workout efficiency and gym management system. This research presents POSE FIT TRACKER WITH GYM MANAGEMENT, an AI-powered system that integrates pose estimation with an automated gym customer management customer management system. The system utilizes MediaPipe Pose and OpenCV for real-time exercise tracking that allows users to monitor their posture and count repetitions for exercises such as curls, squats and shoulder presses. The smart tracking system ensures accuracy in exercise form, minimizing the risk of injury and enhancing workout effectiveness. In parallel, the system incorporates a gym management module, which is developed using Python and SQLite, to streamline customer enrollment, membership tracking and payment management. The database maintains the customer details, membership plan, payment records and provides unique identity to the customers, which allows seamless interaction through a graphical user interface (GUI) built with Tkinter. By combining pose estimation with gym management, the system aims to bridge the gap between fitness tracking and gym management which provides an efficient solution for gym owners and members. This unique approach not only improves the workout quality but also increases the gym operational system, making it a valuable tool for the modern fitness industry.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 4981-4989

POSE FIT TRACKER WITH GYM MANAGEMENT SYSTEM

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8.01 (Year 2024)
UGC Approved
Journal no 47859

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