A Passionate Biomedical & ML Engineer that loves viewing the world with a pair of maths glasses. This is my portfolio where I share my projects, tutorials, and experiences in the field.
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Developed a real-time arrhythmia detection system using AWS Sagemaker and Lambda. The system uses a deep learning model trained on the MIT-BIH dataset to detect arrhythmias in ECG data. The model is deployed on AWS Sagemaker and invoked using AWS Lambda functions. The system achieved an accuracy of 98% in detecting arrhythmias in real-time ECG data.