Athlete Injury Risk Analyzer predicts injury risks using symmetry metrics (force, impulse, torque). It classifies athletes into risk categories with machine learning models and offers a user-friendly Streamlit app for data upload and predictions.
data-preprocessing hypothesis-testing symmetry-analysis model-evaluation time-series-analysis machine-learning-models streamlit-application threshold-based-risk-classification
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Updated
Sep 9, 2025 - Jupyter Notebook