Social distancing associates with the measures that overcome the virus’ spread, by minimizing the physical contacts of humans, such as the masses at public places (e.g., shopping malls, parks, schools, universities, airports, workplaces), evading crowd gatherings, and maintaining an adequate distance between people (Adlhoch, 2020, Ferguson et al., 2005). Social distancing is essential, particularly for those people who are at higher risk of serious illness from COVID-19. By decreasing the risk of virus transmission from an infected person to a healthy, the virus’ spread and disease severity can be significantly reduced (Statistica) Fig. 2 . If social distancing is implemented at the initial stages, it can perform a pivotal role in overcoming the virus spread and preventing the pandemic disease's peak, as illustrated in Fig. 3 (Harvard). It can be observed that social distancing can decrease the number of infected patients and reduce the burden on healthcare organizations. It also lowers the mortality rates by assuring that the number of infected cases (patients) does not surpass the public healthcare capability.

This project is submitted to the Sparks Foundation.

PROJECT REQUIREMENTS
Implement a real time Social Distancing detector which can identify the
distance between two individuals in a crowd.
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Below resources are just for references you can use any library/approach
to achieve the goal.
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Resources: link1 link2
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Project submission:
1. Host the code on GitHub Repository (public). Record the code and
output in a video. Post the video on YouTube
2. Share links of code (GitHub) and video (YouTube) as a post on YOUR
LinkedIn profile
3. Submit the LinkedIn link in Task Submission Form when shared with
you.
4. Please read FAQs on how to submit the tasks.

GITHUB SOURCE CODE
[ Ссылка ]

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