Cardiac-Arrest-Predictor
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Predicts the chances of occurrence of cardiac arrest in an individual using machine learning algorithms
Cardiac Arrest Predictor

Problem :
Heart Attack is a chronic health condition that affects how your heart pumps blood throughout your body. It is not a disease but a phenomena, where there are sudden cardiac arrests. Having healthy, low-cholesterol food, and being active can really help in reducing the chances of cardiac arrest.
Solution:
This Web app will help you to predict whether a person has chances of cardiac arrest or is prone to get it in future by analysing the values of several features using the Decision Tree Classifier.
Idea:
Building an application that can predict the occurrence of a cardiac arrest or the possible causes of it by indicating the highly relevant factors.
Layout
├───images
├───Tabs
│ └───__pycache__
| └─── home.py
| └─── data.py
| └─── predict.py
| └─── visualize.py
| └─── about.py
└───__pycache__
└─── main.py
└─── web_functions.py
└─── requirements.txt
└─── Procfile
└─── setup.sh
Note:
Incase the application demo doesn't start real quick, you can get an idea about how it looks like from the screenshots

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