AI-Powered Workout Manager: Pose Detection and Rep Counting with Python

Explore an AI-powered Workout Manager in this 55-minute tutorial that demonstrates how to track and count reps while providing real-time feedback on form using advanced pose detection. Learn how cutting-edge pose detection can revolutionize workouts, track movements, count reps, and offer live feedback on form. Dive deep into a codebase developed with Python, OpenCV, and MediaPipe's pose estimation model. Gain insights tailored for both fitness enthusiasts and coders. Follow along as the tutorial covers setting up the environment, coding the core functionality, viewing raw video input, rendering the user interface, adding a progress bar, and implementing a stopwatch with a clock icon. Access the GitHub repository for hands-on practice and explore documentation for OpenCV-Python, Mediapipe, and Numpy to enhance your understanding of the technologies used in this AI-driven fitness innovation.

- Introduction
- Setting up and housekeeping
- Coding
- Viewing raw video
- UI Rendering
- Adding Progress bar to the UI
- Adding stopwatch and clock icon
- Outro