Express-Medico

This is one of major project of my undergraduate degree program.

Here, I have developed a disease predicting web app which using the concept of machine learning makes predictions about various diseases like Malaria, Pneumonia, Diabetes etc.

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Down below are the names of the various model files 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/shobhit18th/malaria-cell

• Kernal for Pneumonia model :https://www.kaggle.com/shobhit18th/keras-nn-x-ray-predict-pneumonia-86-54

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

• $ set FLASK_APP= app.py
• $ flask run

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TEAM MEMBERS OR CONTRIBUTORS:

• Sanjai Siddharthan M

• Aravind S

• Sakthi Lakshmanan AN

• Roshan R

Thank you!