/Covid-Alert

Application for detecting whether people are wearing masks and maintaining social distancing or not using python, OpenCV, TensorFlow and Keras.

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

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Covid Alert

App for detecting and determining whether someone is wearing a mask and maintaining social distance, as well as a web page with Covid-19-related information.



Developers and Maintainers

The project is developed and maintained by :-

Shreesh Kumar Jha

Abheet Sethi

Vidhi Jain

Madhur Narang


Covid-Alert Solves

Authorities such as hospitals and security organizations can use Covid Alert's administration page. It consists of an application that identifies whether or not a person is wearing a mask and also software that determines whether or not social distance conventions are being observed.

Proper implementation of this project can aid in preventing the spread of Covid-19 while also ensuring rigorous adherence to government regulations.

This application can be readily developed on the Rasberrypie system, and the system can be deployed in locations where the application may be used effectively, such as hospitals, places under surveillance by the police force, etc.


Tech Stack Used

JavaScript logo Python logo HTML5 logo CSS3 logo

Accuracy of the Face-Mask Detection


Preview of Covid-Alert Web Page

Home Page Home_Page

Login Page Login_Page

About-Covid About_Covid

Advice Advice_Page

Product Product


Preview of Covid-Dashboard

Covid_Dashboard


Preview of Covid-Alert Application

Face Detection without Mask

Face Detection with Mask

Working Prototype


Preview of Social Distancing Detector

Working Prototype2


Upcoming Features

  • Notification related to Covid-19 on handheld devices.
  • Integration of John Hopkins Data with Covid-Dashboard with better UI/UX.

Working Prototype

Working Prototypes


License

This project is currently licensed under GNU Lesser General Public License v3.0 (LGPL-3.0). A copy of LICENSE.md should be present along with the source code. To obtain the software under a different license.