useckit is an open-source toolkit that bundles advanced deep learning algorithms for evaluating biometric security systems. It is designed for researchers and developers who need to assess the usability and robustness of biometric authentication methods using modern AI techniques.
Jonathan Liebers / useckit is an AI & ML product. It focuses on evaluating biometric security systems using state-of-the-art deep learning algorithms. Jonathan Liebers / useckit is an open-source project aimed at security researchers and developers. The project is open source (GNU General Public License v3 (GPLv3)). It runs on the command line and API, and it can be self-hosted.
It is developed by Jonathan Liebers, and the product first shipped in 2023. Among its 4 catalogued features are biometric evaluation, deep learning algorithms, and security analysis. It exposes integrations via a public API.
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