ON-DEVICE Pipeline

On-device Model Audit Workbench

Jun-Hwan Kwon, Ph.D. Research Assistant Professor Anesthesia and Pain Research Institute Yonsei University College of Medicine, Republic of Korea kjh0442@yuhs.ac
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Drop a TFLite or ONNX model

Parse the model locally, inspect graph structure, and prepare on-device optimization evidence.

Local-only Model weights stay in browser memory.
No upload The selected model is not uploaded by this app.
No telemetry No model, tensor, input, output, or report logging.
Local execution Analysis runs locally on the user's device.