⚡ TECH STACK

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 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

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

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

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

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.