This collaborative project, "Heart Disease Prediction Using Machine Learning," was undertaken by a dedicated team of four individuals: Garima Paudel, Anisha Silwal, Aayushma Paudel, and Nisha Pokharel. Our project is aimed at helping individuals and healthcare professionals predict the presence or absence of heart disease with high accuracy. We have developed a machine learning algorithm that utilizes various input parameters such as age, sex, cholesterol level, systolic blood pressure, diastolic blood pressure, cholesterol, height, and weight to make these predictions.
To use this heart disease prediction application, follow these simple steps:
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Clone the project:
Clone this repository to your local machine using the following command:git clone https://github.com/NiShApOkHaReL/HeartDiseasePrediction-6thSEMProject.git
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Navigate to the project directory: Open Command Prompt or your terminal and navigate to the directory where you saved the project.
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Run the application: Type the following command to start the application (Make sure you have Python installed):
python app.py-
Access the application: Once the application is running, you will see a link provided in the prompt. Click on that link.
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Explore the application: You will now be redirected to the home page in your web browser. Navigate to the "Predict" button.
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Enter necessary details: Fill in the required information such as age, sex, cholesterol level, systolic blood pressure, diastolic blood pressure, height, and weight.
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Get the prediction: After entering the necessary details, click the "Predict" button.
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View the result: You will receive the prediction indicating the presence or absence of heart disease based on the input parameters.
Enjoy using our heart disease prediction application to assess heart health quickly and easily.