iOS Heart Health App developed for Hack MIT
HeartAcuity interprets your heartbeats and basic info with numerous machine learning models to predict your probability of having specific heart diseases. HeartAcuity was created during HackMIT 2020 by Abishek Ashok, Sandra Tang, Sabrina Romero, and Eliot Huh over the course of 36 hours. I wrote Random Forest and XGBoost regression models, tuned the hyperparamaters with GridSearchCV, and created visualizations of the results (such as a confusion matrix) with Matplotlib and Seaborn.