The social distancing aim in this pandemic is to decrease the spread of the virus among people; to achieve this, most countries obliged people to stay at home and recommended to keep this unless it’s necessary to go out; due to this the problems of social isolation increased significantly even the means of social media and video calls couldn’t be enough replacement for the gathering of friends which act positively in avoiding social isolation and its harms.
We aim to avoid the gathering of people all in a single time and place, so the application would provide the number of people staying at the detected location so you would head to less crowded places.
Also, the app provides a pre-check-up for Covid-19 symptoms to notify the possible patient and prevent him from meeting others.
During the return of all countries to work again until life continues until the discovery of a new treatment for corona, our concern was to restore the traditional life for everyone, even to us especially since we were at home several months ago, so we thought about this project, which we call a safety system for all places and regions to detect About the coronary through the machine learning system, which is done through a procedure such as an interview in front of the screen, some data is entered and works to record the type of cough, the shape of the face and the eye accurately so that it is determined whether the person suffers from the aura or not, by comparing these Data by units and situations that were developed in the system program, and this technology was used by Tensorflow and the other things is css3, html5, javascript, MongoDB, Kotlin, jquery. And we achieved the goal that we wanted from this project, which is to know the injury and monitor places crowded with people, not streets, and also monitor the places that were affected.
We have built this project with: