The objective of this project is to detect whether the person has any chances of heart disease or not by giving number of features to patients with having maximum accuracy of above 97%. By Using Machine learning algorithms and deep learning are applied to compare the results and analysis of the UCI Machine Learning Heart Disease dataset.

👉 https://med-x-webapp.herokuapp.com/

-Fork the repository

• Clone or download the repo.
• Open command prompt in the downloaded folder.
• Create a virtual environment.

virtualenv environment_name

• Activate the New Environment

source environment_name/bin/activate

• Install the Dependencies.

pip install -r requirements.txt

• Run the Flask App.

python app.py

If You like ❤ the project ,Please ⭐ This Repository .