C-Trace

Our EarthX app, called C-Trace, is a contact tracing app that uses Bluetooth to detect if anyone you have been in contact with had Covid-19. The connection lasts up to fourteen days, to alleviate any chance of error. After a 14 day period, if it is found out that the person had Covid-19, you will be notified immediately. Amid the Covid-19 pandemic, our app helps provide an informative evaluation using factors such as age, gender, and preexisting conditions to determine one’s risk factor of having Covid-19. We are a freshman team in high school attending St. Mark’s School of Texas and our app is crucially important during this era because it alleviates one’s fears about the uncertainty of the disease. Earlier in the year, a tornado struck our campus, and we were out of school for three weeks. Currently, with our school canceled again, this time for the rest of the year, our team came up with this idea because we want to ensure that there is not a second mass outbreak of the disease in future years because we want school’s, businesses, and the economies around the nation to resume normally. C-Trace is a unique app using newly-discovered technology to solve a very important problem in the current world. Our application uses contact tracing technology that keeps a dated log of interactions with nearby phones through Bluetooth. This is sent to a central server that can find links of interaction, to inform people if they may have been at risk of infection. But instead of just tracing the location, we will generate a personal risk assessment for each user. In the first step of this process, we are going to use a time series forecasting model which will increase or decrease your risk factor depending on whether or not your area is or will be highly afflicted with the virus This information such as predicted deaths, number of infections, and number of recoveries is sent to the mobile application, C-Trace. The app’s server will also have a distribution chart for age, gender pre-existing conditions of chance of death, infection, etc to get a very accurate risk factor. This info will be sourced from the CDC here:(https://www.cdc.gov/nchs/nvss/vsrr/covid19/index.htm) When you open the app it works very simply. It will ask the user to input some information about themselves like age, gender, and pre-existing conditions. This will not be sent to the server for privacy reasons but instead will be processed locally using the distribution chart received. The factors will be factored into the final risk probability. In a different section of the app, there are questions about Covid-19, how people can stay safe, and the environment. The app will limit the questions to 10 per day. Every time a user gets a question right, 1 penny will be donated to hospitals to help Covid-19 victims. Making this app was a turbulent journey as we faced many challenges throughout our process. One of the main challenges we faced was getting logged out of the app through a glitch towards the end of the hackathon. We also had a hard time attempting to create our video as we were apart from each other. Our future goals are to eliminate the possibility of coronavirus reappearing after dying off, to prevent future pandemics from occurring, and overall, to help the United Nation reach their third major goal of good health and well being global.

Built With

• android-studio
• firebase
• google-cloud
• java
• node.js