Smart Cardiac Monitoring.
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CardioScope is an automated stethoscope system that leverages custom machine learning models to detect heart murmurs locally on-device.

CardioScope Prototype Hardware

Product in Action

Real-time auscultation analysis and mobile synchronization.

Technical Architecture

A hybrid classification approach combining on-device processing with cloud-level neural accuracy.

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ResNet-34 Model

85.5% Specificity achieved via a 24-layer residual network trained on clinical heart sound datasets.

Edge Processing

Optimized ESP32 firmware using FreeRTOS and ESP-DSP for hardware-accelerated filtering.

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Seamless Sync

BLE 5.0 communication between the custom hardware module and the CardioScope mobile app.

88.5%

Sensitivity

85.5%

Specificity

86%

Accuracy

The Team

Engineering the future of cardiovascular diagnostics.

CardioScope Team
Roby Aldave-Garza, Rijin Muralidharan, Om Patel, Krish Vijayan