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.

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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.

No commits in the last 6 months.

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.

orthotics podiatry 3D-printing gait-analysis custom-insoles
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 12 / 25

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Stars

11

Forks

2

Language

Jupyter Notebook

License

MIT

Last pushed

Aug 29, 2025

Commits (30d)

0

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