The global lockdown caused by the COVID-19 pandemic has surprisingly resulted in a positive environmental change which we inferred from the space-based data. From reducing carbon footprint to healing the biggest hole of the ozone layer has shown us how quickly the environment can heal only if we reject our daily commute to work. Our app (panacea) is an online, social-media platform that promotes users to decentralize the economy by continuing all of their daily activities regarding food to energy generation to earning their livelihood from home.
Two things actually inspired us to choose this challenge, firstly the economy during the time of the pandemic the economy came to a standstill, we thought we need to develop an idea so that the economy could keep rolling, Secondly, due to the quarantine, our the earth started to heal. So we thought we can drive the economy and heal the environment by this solution. Our approach was to create a platform of people so that they can contribute and collaborate with each other by sharing their works and ideas via our platforms, so that it might inspire others to implement those habits and actions and which might result in decentralizing the economy, workplace, job, and business. Also, we promote them to post the green lifestyle they were implementing with others, as for example their environment-friendly actions. We used space app agency data to compare the before the pandemic and after pandemic situation of the earth and tried to come up with a model that how much carbon emission and pollution is ok for the environment, based on that model we tried to develop at how much rate the carbon emission an individual can drop or cut off to contribute towards the environment. We used flutter and dart as the development language, also we used Firebase for hosting and as server. We also used python and python’s different data analytical libraries for processing, analyzing, and visualizing the data. The main problem we faced is cleaning the data and formatting the data, also collaborating the project virtually was kind of difficult for us. The things we achieved we learned a lot of insights of the data and also increased the horizon of knowledge.