Health-Care-web_app

This is a Classification type Machine Learning and Deep Learning project that can predict the chances of getting diseases like Heart_Failure, Diabetes, Malaria and Tuberculosis.

• Heart_Failure and Diabetes prediction used Machine Learning Model
  
• Malaria and Tuberculosis prediction used Deep Learning Model where it utilised malaria parasitised cells and chest x-rays images.
  

About Datasets and Models:

1. Heart_Failure :

Link to Heart_Failure dataset
Target variable is DEATH_EVENT which is boolean-type
Heart_Failure.ipynb
Model Used : Random Forest with GridSearch and hyper parameter tuning

2. Diabetes :

Link to Diabetes dataset

Diabetes.ipynb
Model Used : Xgboost

3. Malaria :

Malaria image_data

Malaria.ipynb
Model Used : InceptionV3 model of Transfer Learning

4. Tuberculosis :

Tuberculosis iamge_data

Tuberculosis.ipynb
Model Used : InceptionV3 model of Transfer Learning

Tools Used :

• Python (3.8 version)
• Flask
• Sci-kit learn
• Tensorflow
• Pandas
• Numpy
• Pickle
• HTML and CSS