XAI Suite and Evidence-based AI validation tools

A cross-domain workbench for building, explaining and — critically — validating AI models before anyone trusts them. It couples model development with explainability outputs and an evidence-based assessment layer covering performance, calibration, uncertainty and reporting quality. Designed to be domain-agnostic: the same validation logic serves medical imaging, air quality, industrial and materials applications.

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