Developed CNN and RNN models to classify ECG heartbeats as normal or myocardial infarction using time-series data. Implemented a data generator for batching and applied one-hot encoding to ensure compatibility with softmax. Achieved 88+% test accuracy through hyperparameter tuning and architecture experiments. Experiment visualizations are avaialble on GitHub.