• Varad Ghote
• Shreyas Thorat
• Ujjwal Patil
• ved Mundhe
• Amol Bhilare

This paper proposes a system to assist users in performing exercise workouts by implementing MediaPipe Keypoint Neural Invariant Feature Transform (KNIFT). Exercise requires proper directions to follow as improper movements during exercise can lead to injuries. Mediapipe KNIFT offers real time tracking of the user’s movement as compared to only pose detection. Using the coordinates of the joints, the angle between joints and speed of movement can be calculated which can be used to guide to user to follow proper exercise movements. Pygame library was used to make a user friendly interface, along with voice recognition to enable hands free usage.

"Workout Pose Correction System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 12, page no.b672-b676, December-2025, Available :http://www.jetir.org/papers/JETIR2512183.pdf

"Workout Pose Correction System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 12, page no. ppb672-b676, December-2025, Available at : http://www.jetir.org/papers/JETIR2512183.pdf