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Developed a deep neural network model for real-time human pose estimation to localize keypoints in video feeds, enabling the creation of a fitness application.

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HarshithaSivalingala/Pose_Estimation

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Pose_Estimation

Project Description:

Human Pose Estimation is defined as the problem of localization of human joints (also known as keypoints - elbows, wrists, etc) in images or videos. It is also defined as the search for a specific pose in space of all articulated poses.Devised a deep neural network model to superimpose the pose estimation on real time video feed and used this model to develop a fitness application.

Tech Stack:

  • PyCharm
  • MediaPipe
  • Library: OpenCV
  • Git
  • LaTex

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Developed a deep neural network model for real-time human pose estimation to localize keypoints in video feeds, enabling the creation of a fitness application.

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