Gym Pose Correction with Python and MediaPipe | Pose Detection & Pose Classification using OpenCV

Real-Time Pose Detection & Correction using Convolutional Neural Networks (CNN)

AI-powered fitness coaching system that leverages computer vision and deep learning to provide real-time exercise form correction and personalized feedback. Unlike traditional rule-based approaches that rely on manual angle thresholds, this system employs a data-driven methodology using Convolutional Neural Networks (CNNs) trained on comprehensive exercise datasets to intelligently identify incorrect postures and provide corrective guidance.

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Software Requirements :-
• Coding Language : Python
• Implementation: Web Framework.
• Operating system : Windows 10 / 11.
• Graphical User Interface : HTML, CSS, Django

Hardware Requirement :-
• Input Devices : Keyboard, Mouse.
• System : Pentium i3 Processor.
• Hard Disk : 500 GB.
• Ram : 4 GB.

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