High-Level Project Summary
As it is known, the places where the covid-19 virus is most transmitted are crowded environments. The main idea of this project is that the level of noise is high in crowded environments. The more noise, the more people, the more risk of infection. This application analyzes the surrounding noise and calculates estimated number of people using an algorithm and alerts its user in terms of the risk of covid -19 infection as low, moderate and high risk.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
The application, when active, detects noise in surrounding area. It analysis the noice and classifies it into three levels.
This levels are:
- Low Alert
- Moderate Alert
- High Alert
The principle of the analysis is the more people are present in an area the more noise will be present. And the more people are present the more high is the risk of covid-19 infection.
We hope to avoid un-controlled meeting of people therefore reducing the spread of covid-19.
Used Software & Programs:
- WebStorm (JetBrains Educational License)
- Visual Studio For Mac
- Google Docs & Slides
- JavaScript
- React-Native
- X-Code
- Figma Web
Space Agency Data
NASA Coronavirus Response Information (https://nasapeople.nasa.gov/coronavirus/)
Hackathon Journey
I learned time management.
References
https://github.com/facebook/react-native
Tags
#iOS #React-Native #Covid-19 #Pandemic
Global Judging
This project has been submitted for consideration during the Judging process.