Covid-19 Dashboard: Supervised learning ML model based Covid-19 prediction analysis and identifying early-stage symptoms

Following Standard Operating Procedures and being Social distanced is now the new norm for most of the people worldwide, amidst this pandemic. At this crucial time, people must be updated regarding, virus hotspots, containment zones and more associated information. The recent outbreak has taken the world by surprise, forcing lockdowns in most of the countries and affecting the public health systems. In response to the outbreak, Governments of many countries have shown interest in contact tracing applications. The main goal of developing the application is to provide all the information related to COVID-19 or any pandemic situation to the citizen of the country. The project holds plenty of relevance in today’s time when people are finding solutions to protect themselves from the pandemic. Our project is an proposal to confirm the utmost safety for the citizens of our country from the deadly coronavirus disease. In quintessence, it connects the health services of the country to its citizens at this unstable time. It can assist a person to follow adequate measures to avoid infection. Application users are also able to understand if they are currently being exploited to covid-19 related symptoms. The responsiveness of the mobile platform makes it easy for the users to perform self-diagnosis and inform whether there is a need to consult a doctor.