BhakeSart/HealthOrzo

HealthOrzo is a Disease Prediction and Information Website. It is user friendly and very dynamic in it's prediction. The Project Predicts 4 diseases that are Diabetes , Kidney Disease , Heart Ailment and Liver Disease . All these 4 Machine Learning Models are integrated in a website using Flask at the backend .

HeathOrzo - Your Health Matters

About

HealthOrzo is a User friendly Website made for Health Informatics and Prediction. It incorporates 4 Machine Learning Models , Each one Corresponding to a disease. The Diseases That the Website predicts and provides information on are as Follows:

• Diabetes.
• Heart Ailment.
• Kidney Disease.
• Liver Disease.

Accuracy of the Models and Algorithms Used

Disease	Algorithm Used	Accuracy
Diabetes	Support Vector Machine (SVM)	75%
Heart Ailment	Logistic Regression	81%
Kidney Disease	Random Forests	100%
Liver Disease	Random Forests	73%

Note

===> Python Version 3.8.8 was used for this Project.
===> All the Jupyter Notebooks can be Found in the Notebooks Folder.
===> All the rendered and the Saved Models can be Found in the Models Folder.

Datasets Used

The Datasets Used for this Project were taken from Kaggle

• Diabetes Dataset
• Heart Ailment Dataset.
• Kidney Disease Dataset.
• Liver Disease Dataset.

Steps to Run the Website on your System

• 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