This project is a web application that predicts the probability of cardiovascular disease based on simple features such as age, height, weight, gender, blood pressure, blood glucose level, etc. It utilizes a machine learning model trained on a dataset to make accurate predictions.
You can access the live version of this project at 168.61.20.95.
Health
Cardio-disease Predictor
Predicting probability of a person having cardiovascular disease. We have deployed the application on Azure Cloud Platform. The application takes features like age, weight, bp etc. as inputs and then predicts the probability of a person to have cardiovascular disease as output.
Cardiovascular diseases are a leading cause of global mortality, underscoring the importance of awareness and proactive health management. That's why we have built this application so that a person can check his probability of having cardiovascular disease and then can take appropriate actions in order to prevent it like regular exercise, healthy diet etc. We have built this web app using HTML, CSS, Vue, Flask, Docker, scikit-learn, Terraform and Azure Technologies like Linux Virutal Machines, Virtual Network (can be seen here)
Linux Virtual Machines, Virtual Network
The project is built using the following technologies:
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Frontend:
- HTML
- CSS
- Vue.js
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Backend:
- Python Flask
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Deployment:
- Docker (Separate Dockerfiles for backend and frontend)
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ML
- Logistic Regression implemented using Scikit-learn
If you have any questions or need further assistance, please contact the project owner at dhairyarora0208in@gmail.com.