DOCMED ⚡️

⚡ TECH STACK

Abstract

To improve the conventional diagnostic procedures as they are prone to human mistakes and these are slow, expensive and not equally accessible to everyone therefore we developed an efficient ML model for predicting the possibility of various diseases like covid, viral fever, dengue etc and integrate it with an interactive web based dashboard which will also provide some additional insights and recommendations over the user’s medical data. Read More

Features

Features Provided By the DOCMED

1. CHATBOT COVAT TO RESOLVE YOUR QUERIES
2. ML MODEL TO PREDICT COVID FROM SYMTOMS
3. ML MODEL TO PREDICT COVID FROM CHEST XRAY REPORT
4. ML MODEL TO PREDICT COVID FROM CHEST CTSCAN REPORT
5. CONSULT WITH A DOCTORS IN YOUR CITY
6. TRACK COVID CASES WORLD WIDE OR COUNTRY WISE

Project Setup

Using venv

git clone https://github.com/jhabarsingh/DOCMED.git  
cd DOCMED
python3 -m venv env # Python 3.6.9 or 3.7.0 version 
source env/bin/activate
python3 -m pip install --upgrade pip
pip install -r requirements.txt
python manage.py runserver

Using conda

git clone https://github.com/jhabarsingh/DOCMED.git  
cd DOCMED
conda create -n docmed python==3.7 
conda activate docmed
python3 -m pip install --upgrade pip
pip install -r requirements.txt
python manage.py runserver

Using Docker

sudo apt-get install docker docker-compose # Install docker, docker-compose on linux
git clone https://github.com/jhabarsingh/DOCMED.git  
cd DOCMED
sudo docker-compose up

Want To Contribute

You can contribute to this project in many ways

1. You can create an issue if you find any bug.
2. You can work on an existing issue and Send PR.
3. You can make changes in the design if it is needed.
4. Even if you find any grammatical or spelling mistakes then also you can create an issue.

I would be glad to see a notification saying User {xyz} created a Pull Request. I promise to review it.