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  # HEARTFLOW_OS // TinyML Heart Health Telemetry
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  A production-ready, edge-optimized application for real-time cardiovascular analytics. It bridges the gap between cloud-scale machine learning and low-level embedded hardware by deploying soft-voting ensembles and automated C-code transpilation for resource-constrained IoT systems.
 
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+ title: HeartFlow OS Backend
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  # HEARTFLOW_OS // TinyML Heart Health Telemetry
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  A production-ready, edge-optimized application for real-time cardiovascular analytics. It bridges the gap between cloud-scale machine learning and low-level embedded hardware by deploying soft-voting ensembles and automated C-code transpilation for resource-constrained IoT systems.