CO-INFO-19

https://prezi.com/view/SRqL4sWkw3svlacj1smu/

https://drive.google.com/drive/folders/1aW9DqoxLrnadIiArq-CSivAMevQE5Dyn?usp=sharing

As the developers of the CO-INFO-19 mobile-app application, we aimed to develop a mobile application that, as the name implies, provides detailed information about Covid-19 data. Each user has his/her/them own profile in our application. Users have their own information in their profiles (name, age, date of birth, etc.), the vaccination status. If the user has all the vaccines required for the vaccination card have been completed, there are vaccination cards and square codes. For users who allow access to their location information, they can access the information of risky or risk-free people around them. Depending on their location they can also access the information about patients with Covid-19 and those who died due to Covid-19.

QR codes on the entrances and exits of places where users will stay for a long time (cafe, disco, etc.) with "How safe am I?" section (we have this section in our app), they will be able to read the QR code which place they are in and decide accordingly whether or not to enter the place. The user's risk status information will be recorded anonymously, and the average risk value in that location will be calculated on a location basis in real-time (constantly updated according to inputs and outputs), and the user will be informed.

Likewise, the user will be able to use the same system in the public transportation vehicles he/she/they will use in the city. In this way, he/she/they will be able to see the average risk ratio of the place in the upcoming trips (metro, bus, etc.). Density information that occurs at different times of the day is also provided to users. If a user wants to plan a trip from their region to another place (regardless of district, state, city, country) thanks to location data and information that we take, it will be calculated for the users that he/she/they will face less covid-19 risk in whichever way he/she/they plans. In addition, factors such as less crowding or reaching the desired point in a shorter time are calculated for users.

Our application tracks quarantine days for users who have Covid-19 disease. In addition, our application uses the user's location information to provide the user with information about online shopping sites, institutions and individuals providing psychological support, and institutions providing professional cleaning. Our application provides the information of doctors and nurses who provide home service as an extra for users with Covid-19 patients over the age of 60.

The user can follow the current Covid-19 news from popular social media platforms through our application at any time and can see the emotional intensity of the published news (such as whether the news is positive or negative) at any time.

There is also a page where users who are infected with Covid-19 can chat, ask questions to each other, and users who are under quarantine can provide information about their health (such as positive but quarantined or contacted and quarantined) support each other. The user lists the current covid-19 news on the mobile application at any time. In addition, he/she/them can see the emotional intensities (positive and negative developments) of the first 20 recently prominent tweets on Twitter (one of the popular social media platforms), whenever he/she/them wants. While doing all these, users can choose the categories themselves from the menu or use the chatbot in the help center to get the job done in a shorter time. Thanks to the chatbot, users can get faster and more effective results with keywords.

A mobile application with these features has been developed. The mobile app is built with Flutter and Dart. Web scraping method to pull up-to-date news data from sites, textblob library in Python programming language to perform sentiment analysis of the top 10 recently featured tweets on Twitter, and a virtualenv (a tool used to create isolated python places)is used for Chatbot that contains all Python libraries in it.

We recommend that you review our project pages before continuing to read.

First Part to View

Second Part to View

Third Part to View

Pages Detailed Descriptions

We started our project as a computer science master’s degree student, two computer engineering students and a high school student. We aimed to help people and raise awareness of the ongoing COVID-19 epidemic. We have prepared an application prototype as requested. Since our time was limited, we wanted to present and emphasize our creativity rather than our coding ability. We used moqups.com to present our prototype. We started by deciding which features to include in our app. Then we brainstormed on what supports we provide these features and which tools we should use. Asking people around us, "What kind of application would help you during the COVID19 process?" we asked. We made changes in our plans according to the answers we received. Now I will talk about the features of our project and what they are aiming for.

First, we actively used the colors green and blue on the user login screen (1) because we assumed that these colors represent health and high quality in the subconscious of people. We chose to use a familiar user login page to provide a good user experience. On the Profile (2) page, we aimed to create a page with personalized data. For a good user experience, we have taken care to use certain fonts, sizes, and colors in each topic. This page is customized according to whether the person is vaccinated or not. For a person who has been vaccinated, additional information is also provided, such as the vaccination card and the type of vaccination. There is also a QR code on the name of the vaccination certificate. In the multi-window mode (3) that opens from the left, we have displayed all the features that users can take advantage of. Thus, the user will be able to access every feature in an aggregated order.

If you remember, we asked the user to log in to Twitter and Facebook accounts on the first login page. On the Report page (4), you can see an analysis of what people with the person's link have said about COVID-19 and their posts. With this feature, we have enabled users to access other applications from within our application. We plan to extract the necessary data by web scraping and using the relevant tools. We have provided the user with access to important and breaking news on the News About Covid page (5). We aimed to present this news by personalizing it according to the location, gender, and age of the person. On the Location-Based Risk (6) page, the person's state, street, city, etc. We made it possible to reach the number of deaths and cases according to the We planned to pull this information from NASA-recommended sources via web scraping.

On the Help Center page (7), we have set up a Chatbot that we will develop ourselves. The chatbot is responsible for communicating with the user, as well as making it easier for the user to navigate the application. It supports the user by providing the most connected service in the application according to the keywords it receives from the user. On the page we illustrated Notification (8), we used GPS data. A feature that can be used by all users who use this application and give permission to use location data. Within the scope of the Protection of Personal Data (without any personalized information), we send a warning to users' phones in case of risk of being COVID positive. On the Nursing and Services (9) page, we were also inspired by NASA. This service page will only be viewable by COVID19 positive patients. On this page with many services, there is also the most used tab. A corona-positive person will be able to control the shopping process, cleaning process with professional support, or getting psychological support from this page. In addition, there is a special nursing home service for people over the age of 60 and who have COVID patients.

We have established a chat environment on the COTWEETER19 (10) page that will enable people to keep in touch with each other. It also has features such as story and messaging, which are popular today. We wanted to show users the safest flight experience on the Travel & Risk (11) page. We suggested the routes with the least risk to the users and enabled them to make reservations. We've also included four different attributes on this page that will be used to rank. We offer this service based on the average of cases in the countries and the city where the airport is located.

There is a QR code on the How Safe I Am (12) page. With this QR code, we hope that users will be included in the corona statistics in all closed areas they enter and benefit from these statistics. Let me explain, a user entering a shopping mall will scan this code while entering and exiting. Or the passenger, who has this code read while getting on a bus, must have this code scanned at the stop he gets off. Otherwise, he cannot complete his payment and transactions. In this way, we will be able to observe the instant risk situation in closed spaces with data. We will be able to warn people in advance of the occurrence of high risk. If the person is going to use public transport, we direct him to the Public Transport (13), if he is going to enter indoor places, we direct him to the Place (15). On these two pages, we want people to input locations related to map support and we warn them against risks (14-16).

We used these two websites to collect data for the case and death information based on state, country, or city.

https://covid.cdc.gov/covid-data-tracker/#cases_casesper100klast7days

https://gisanddata.maps.arcgis.com/apps/dashboards/bda7594740fd40299423467b48e9ecf6

Also, after seeing that source, we were inspired to make a page in our app that named “Nursing and Services”.

https://covid.cdc.gov/covid-data-tracker/#nursing-home-staff

We are inspired by these resources too. After taking the user’s personalized data (sex, age, etc.), in the light of this resource, we gave some advice to his/him/them against possible dangers.

https://earthdata.nasa.gov/learn/articles/sedac-covid-19-viewer

https://covid.cdc.gov/covid-data-tracker/#demographicsovertime

We felt that it was a happy feeling to develop a mobile application that is important for human life. We learned how teamwork takes place and what new tools can be used while developing the design of the mobile application. We wanted to choose this challenge as we see it as a responsibility to benefit humanity and nature by producing innovative solutions against the Covid-19 virus that threatens humanity. It was our approach in this project to develop a mobile application with innovative features that people can easily use to take Covid-19 precautions. By acting as a team, we supported each other and gathered our knowledge together, and easily corrected the deficiencies. First of all, we would like to thank our teacher and also our teammate Sezer Uğuz. Then we would like to thank Dr.Gül Tokdemir, who is one of the faculty members of Çankaya University, for supporting us in producing and developing our ideas and was with us at every moment. 

Specific Color Meanings

https://en.wikipedia.org/wiki/Color_psychology

Twitter

https://twitter.com/

Mock-Ups

https://moqups.com/

https://earthdata.nasa.gov/learn/articles/sedac-covid-19-viewer

https://covid.cdc.gov/covid-data-tracker/#demographicsovertime

https://covid.cdc.gov/covid-data-tracker/#cases_casesper100klast7days

https://gisanddata.maps.arcgis.com/apps/dashboards/bda7594740fd40299423467b48e9ecf6

#mobileapplication, #mockup, #covid19, #apps

This project has been submitted for consideration during the Judging process.