Pose Detection & Real-time Feedback using Python and AI

🏋️‍♂️ Ready to transform your workout sessions with the power of AI? Dive into our AI-powered Workout Manager that not only tracks and counts your reps but also provides real-time feedback on your form using advanced pose detection.

What You'll Learn:
🎥 How cutting-edge pose detection can revolutionize your workouts.
📊 Tracking movements, counting reps, and getting live feedback on your form.
🐍 Deep dive into our codebase developed with Python, OpenCV, and MediaPipe's pose estimation model.
🤓 Whether you're into fitness or coding, discover insights tailored for you.
Resources:

📁 GitHub Repository - https://github.com/airscholar/AI-Workout-Manager.git

Chapters:
00:00 - Introduction
00:55 - Setting up and housekeeping
04:43 - Coding
07:29 - Viewing raw video
24:11 - UI Rendering
40:54 - Adding Progress bar to the UI
44:40 - Adding stopwatch and clock icon
54:14 - Outro

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Documentation:
OpenCV-Python - https://github.com/opencv/opencv-python
Mediapipe - https://developers.google.com/mediapipe/api/solutions
Numpy - https://numpy.org/doc/1.25/reference/index.html

Hashtags:
#AIWorkouts #PoseDetection #PythonCoding #RealTimeFeedback #FitnessTech #OpenCV #MediaPipe

Tags:
AI in Fitness, Pose Detection, Python, OpenCV, MediaPipe, Workout Manager, Real-time Feedback, Rep Counting, Form Analysis, Fitness Innovation