MedTest Machine Learning Application

This is complete End to end ML Application in Healthcare sector.

This Web App makes predictions about various diseases like Heart, Diabetes, Cancer, Malaria, Pneumonia, Diabetes etc.

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Below are the names of the various model used:

• Cancer model = model

• Diabetes model = model1

• Heart model = model2

• Liver model = model4

• Kidney model = model3

• Malaria model = model111.h5

• Pneumonia model = my_model.h5

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Kernals used for training deep learning model

• Kernal for Malaria model :https://www.kaggle.com/mandarkulkarnipune/malaria-detection-model

• Kernal for Pneumonia model :https://www.kaggle.com/mandarkulkarnipune/pneumonia-detection-model

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Details of various datasets used for model development :

• Cancer : cancer.csv [In the repository]

• Diabetes : diabetes.csv [In the repository]

• Heart : heart.csv [In the repository]

• Liver : https://www.kaggle.com/uciml/indian-liver-patient-records

• Kidney : https://www.kaggle.com/mansoordaku/ckdisease

• Malaria : https://www.kaggle.com/iarunava/cell-images-for-detecting-malaria

• Pneumonia: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia

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Tools used for project development:

• Python ( 3.7 version)

• Flask

• OpenCV

• Pandas

• Numpy

• HTML

• CSS

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Screenshots

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For using the project clone the repository and type the following commands in the termial:

• pip install -r requirements.txt
• python app.py

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The complete project is deployed on Heroku Cloud.

Here is the link where you can access the project live : https://medtestmlwebapp.herokuapp.com

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