CovidTracker - Teslacoil

Hosted website, click to view

http://tintybot.pythonanywhere.com/v [Currently Down, due to hosting expenses.]

Video of the complete app, click to view

https://drive.google.com/file/d/1XrEIHd_xgEL8drOYr5jBfPP322HTJPom/view?usp=sharing

Project Overview

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Problem

Covid19 a real issue, a massive pandemic, how can we increase public awareness and help users to visualise their condtions and have a fair idea of the upcoming future.

Solution

• We gather data from the sources and create all sorts of data visualisation depicting the reach of the virus.
• We use graphs and plots to show the spread of the virus over time throughout the world, the deaths over time, the recovered over time.
• Main focus is on India, we have visuals on Indian spread and have shown every detail of the spread, death, recovery in India.
• We have included an prediction using fbprophet which is the most advanced tool for this, to show the prediction of spread and deaths in the upcoming 100 days.
• We have included symptoms of corona virus infected and have explained visually in form of graphs which symptom stands out the most.
• We even have included a few preventive measures to explain the audience what can be done to avoid this.
• There is also a dedicated application which can track and predict the chances of a person being infected in term of probability.
• We have made sure that users have complete satisfaction using this website and have the complete knowledge and awareness needed.
• We have a dedicated chatbot in our website which can check whether you are infected or not Do Check This Out !
• We have a dedicated X-ray analyser in our website, all you need to do is to upload your chest x-ray and check whether you have got infection or not Do Check This Out !

Solution Description

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Technical Description

Technologies and libraries used

Following are some important technologies and libraries used. See a complete list in the [requirements file](Application Code/requirements.txt).

Technology	Version
Django	3.0.4
nltk	3.4.5
numpy	1.17.4
pandas	0.25.3
virtualenv	16.7.8
beautifulsoup4	4.8.2
lxml	4.5.0
numpy	1.18.0
opencv-python	4.1.2.30
pandas	1.0.1
pipenv	2018.11.26
scipy	1.4.1
seaborn	0.10.0
plotly	4.6.0
requests	2.23.0
bs4	0.0.1
psycopg2	2.8.4
tensorflow	1.15.0
keras	2.8.4

Setup/Installations required to run the solution for testing

1. Open terminal inside the directory Application Code and run the following commands

   • install virtualenv pip install virtualenv
   • create virtualenv virtualenv env
   • activate the env /env/Scripts/activate
   • make sure that the requirements.txt file is in the present working directory
   • pip install -r requirements.txt

2. change directory to covid19

   • python manage.py migrate
   • python manage.py collectstatic if prompted please type yes and press enter.

3. in the terminal python manage.py runserver please wait until it shows running, this takes a bit of time.

4. In Any Browser open link localhost:8000 or 127.0.0.1:8000

Team Members

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List of team member names and email IDs with their contributions

Name	E-mail	Contributions
Shayan Chatterjee [Leader]	shayanchatterjee7@gmail.com	Complete frontend of the website and all designs
Abhinandan Purkait	purkaitabhinandan@gmail.com	Complete backend,integration of all modules in django, chatbot, hosting
Sayantan Ghosh	gsayantan1999@gmail.com	Cleaning of gathered user data, implementation of all graphs and models
Rohit Halder	rhalder9@gmail.com	Built the model for virtual medical kit

Screensnaps of the main app