High-Level Project Summary
COVID-19 continues to be a global problem even though vaccination efforts are underway to control its propagation.To solve this problem, we have created a video surveillance camera program that will record the entry of each person somewhere in facial recognition and save their visit history to the database. We have also created a website and mobile app with the following functions:1) with the help of facial recognition, you can find out the level of infection of a certain person.2) with the help of geolocation, you can find out about the contamination of your location.Our programs identify the risks of infection, thereby reducing the number of new infections.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
This is a button for recognising the face. After searching, the program detects the level of infection of a person.
After searching, the program shows the level of the person's infection
Another function is by using geolocation app determine the infection of the location.
Our program identifies the risks of infection thereby reducing the number of new infections. With this program, we want to reduce the number of infections at times.
To create this program, we used such programming languages as: JS, PHP, MySQL, Python. Also HTML and CSS markup languages. We wrote scripts on the Sublime Text 3 editor.
Space Agency Data
For analysing and filling in the data-base we have used data from https://sedac.ciesin.columbia.edu/mapping/popest/covid-19/ and https://gisanddata.maps.arcgis.com/apps/dashboards/bda7594740fd40299423467b48e9ecf6.
Hackathon Journey
Our goal of participating in this grand hackathon is to hone skills, exchange ideas, expand a number of like-minded people, contribute to our society by implementing innovative ideas and, of course, gaining experience.
We are living witnesses to the life and economic damage caused by the coronavirus. After much thought, we decided to propose this idea to reduce the number of infections with our app. Our team worked hard on this project for 48 hours, and we managed to make an MVP. We are grateful to Nasa and the American Space Dushanbe for such a large-scale and grand hackathon.
References
https://sedac.ciesin.columbia.edu/mapping/popest/covid-19/ https://gisanddata.maps.arcgis.com/apps/dashboards/bda7594740fd40299423467b48e9ecf6
Tags
#irsiyat #covid19
Global Judging
This project has been submitted for consideration during the Judging process.