AI-Driven Weightlifting Posture Analysis Pipeline
PythonComputer VisionMediaPipeTensorFlowGRUSequence ModelingBiomechanicsMachine LearningOpenCVData Pipeline
RoleML / Computer Vision Engineer
Year2024
ClientInternal
Links
01
The Narrative
End-to-end computer vision and sequence modeling pipeline for analyzing Olympic weightlifting posture and generating corrective feedback.
A complete AI pipeline that processes Olympic weightlifting videos (Snatch and Clean & Jerk) to extract biomechanical features such as joint angles, velocities, and movement phases. The system generates structured feedback and trains a GRU-based regression model to predict posture corrections using sequential motion data.
03
Engineering
ARCHITECTURE_MANIFEST.json
// SYSTEM_OVERVIEW
End-to-end data pipeline transforming raw video into structured biomechanical features and training a GRU-based sequence model for posture correction.
PythonOpenCVMediaPipeNumPyPandasTensorFlow (Keras)Scikit-learnMatplotlib