HeartCare AI - Cardiac Arrhythmia Detection

Overview

Designed a proposal for an AI-powered heartbeat detection platform using deep neural networks, with an automated Python data pipeline transforming raw cardiac data into actionable insights for real-time arrhythmia detection.

My approach

Built automated data cleaning and validation pipelines to process 650,000+ ECG healthcare records, addressed class imbalance with data augmentation, and trained classification models (SVM, Random Forest, deep neural network) to support early intervention and better patient outcomes.

Tech stack