ML-MT-WebApp

ML-MT-WebApp

On request from many of you I have created a telegram chennal where your guys can post your questions and then we can have discussions there about improving this project bit further and further help you guys can get.

Channel link : https://t.me/mymlmt

❓ Let me know on telegram if you guys want this project to be deployed with Docker and Kubernetes

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.

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

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

---

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

Tools used for project development:

• Python ( 3.7 version)

• Flask

• OpenCV

• Pandas

• Numpy

• HTML

• CSS

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

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

The whole project is deployed on Heroku Cloud.

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

Thank you!