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Multi Disease Prediction Model for predicting 50+ different diseases using 9 different ML models along with medical insurance prediction model and achieved more than 90% accuracy on each model.

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prathameshparit/Multi-Disease-Prediction

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Multi-Disease-Prediction

This is our Submission for the VIIT Hackathon, DevCup 2022.

Introduction

One stop solution for most of your medical needs. The features included in the system are Early detection, Awareness, Easy to use, Accurate Predictions, Recommendations, Doctors, Hospitals, Medicals, Access to care, Statistics, Transportation and Multi disease predition.

The services which we offer provides a whopping prediction on 50+ diseases.

Demo

MDP.mov

Tech

The website uses a number of open source projects to work properly:

  • Tensorflow - Deep learning application framework
  • Scikit-Learn - Bank for classification, predictive analytics, and very many other machine learning tasks.
  • Flask - Framework for creating web applications in Python easier.
  • Matplotlib - A low level graph plotting library in python that serves as a visualization utility.
  • Numpy - Used for working with arrays
  • Pandas - Used for data analysis and associated manipulation of tabular data in Dataframes

Code

Diseases Notebook
Heart Disease Prediction Multi-Disease-Prediction/heart-disease
Cataract Prediction Multi-Disease-Prediction/cataract-prediction
Pneumonia Prediction Multi-Disease-Prediction/pneumonia-prediction
Brain Tumor Prediction Multi-Disease-Prediction/brain-tumor
Parkinson's Disease Prediction Multi-Disease-Prediction/parkinsons-disease
Diabetes Prediction Multi-Disease-Prediction/diabetes-prediction
Other Diseases(47 Diseases) Multi-Disease-Prediction/other-diseases

Installation

Website requires these steps to install the application on your device

On terminal:

Download virtual env library

pip3 install -U pip virtualenv

Create a virtual environment on your device

virtualenv  -p python3 ./venv

Download all the dependencies provided on requirements.txt

pip install -r .\requirements.txt

Activate the virtual environment

.\pp\Scripts\activate

Run app.py after completing all the steps.

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Multi Disease Prediction Model for predicting 50+ different diseases using 9 different ML models along with medical insurance prediction model and achieved more than 90% accuracy on each model.

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