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venugopalkadamba/Multi_Disease_Predictor

A Machine Learning and Deep Learning based webapp used to predict multiple diseases.

breast-cancerconvolutional-neural-networksdeep-learningflaskflask-applicationheart-diseaseheroku-deploymentkidney-diseaseliver-diseasemachine-learningmachine-learning-algorithmsmalaria

Multiple Disease Predictor

About

This webapp was developed using Flask Web Framework and was deployed on Heroku server. The models used to predict the diseases were trained on large Datasets. All the links for datasets and the python notebooks used for model creation are mentioned below in this readme. The webapp can predict following Diseases:

  • Diabetes
  • Breast Cancer
  • Heart Disease
  • Kidney Disease
  • Liver Disease
  • Malaria
  • Pneumonia

Models with their Accuracy of Prediction

Disease Type of Model Accuracy
Diabetes Machine Learning Model 98.25%
Breast Cancer Machine Learning Model 98.25%
Heart Disease Machine Learning Model 85.25%
Kidney Disease Machine Learning Model 99%
Liver Disease Machine Learning Model 78%
Malaria Deep Learning Model(CNN) 96%
Pneumonia Deep Learning Model(CNN) 95%

NOTE

==> You can access the website live at: https://kvg-disease-predictor.herokuapp.com

==> Python version 3.6.8 was used for the whole project.

==> You can find all the models in models folder.

Steps to run this application in your system

  1. Clone or download the repo.
  2. Open command prompt in the downloaded folder.
  3. Create a virtual environment
mkvirtualenv environment_name
  1. Install all the dependencies:
pip install -r requirements.txt
  1. Run the application
python app.py

All the datasets were used from kaggle.

Languages

Jupyter Notebook98.3%HTML1.5%Python0.1%

Contributors

VETADE
Created July 11, 2020
Updated March 2, 2026
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