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This presentation demonstrates OSAS, an open-source machine learning framework for creating custom preprocessing pipelines and detecting anomalies in diverse datasets. It includes an end-to-end proof of concept using the off-the-shelf system or customizing a pipeline, with a web interface and graphical analysis tools.