Green-AI-Hub-Mittelstand/Training-and-Prediction-Toolbox-for-3D-Printable-Orthopedic-Insoles
A software stack to collect pedobarographic and user data to train a custom model for the prediction of orthopedic insole parameters for 3D printing.
This toolbox helps orthopedic professionals, such as orthotists or podiatrists, streamline the creation of custom 3D-printable insoles. It takes digital foot pressure (pedobarography) data and patient information as input. It then automatically predicts key insole design parameters, generating a 3D model that can be directly sent to a 3D printer for manufacturing.
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Use this if you are an orthopedic professional looking to automate the design of custom 3D-printable insoles based on pedobarography data.
Not ideal if you do not collect pedobarography data or if you need to design insoles from scratch without predictive modeling.
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Jupyter Notebook
License
MIT
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Last pushed
Aug 29, 2025
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