The pandemic has taken us by surprise and it is difficult for the leaders of each nation to know which side of the problem you face first. Anvid, using Artificial Intelligence system and collecting data of the world, shows which is the most influential factor in the spread of the virus in your country. With this, leaders can focus on what is really important and they will not attack blindly. In order to invest and offer resources for the right sector in order and relevance that the app web shows in the map. Finally, in some countries where resources are limited, knowing what is the most relevant factor can make a huge difference in the spread of the virus!
We are from Ecuador, one of the countries that had many problems while dealing with the pandemic. Our country was not prepared to face an outbreak, we had an unstable economy and a low budget. That is why we want to help other countries with the web application, so they can act in a timely manner and reduce the impact by directing efforts towards the factor that most influences the spread of the virus.
Additionally, we were able to empathize with the other countries from Latin America and Caribe, knowing their realities and needs. At the same time, it will provide leaders with a data-driven tool offered by space agencies so they can support their decisions and direct all efforts at the weakest points. Aiming to counter and cope with the pandemic.
In the first instance we organize the data, then we generate a graph of it, according to the countries, dates and the factors that determine the increase or decrease in cases of covid-19. Later, implement statistical calculations powered by machine learning for more accurate predictions in the web app.
Some tools that we use to develop the project are:
Initially we had problems with the collection of information. Subsequently, with the process of empathy with the user by correctly identifying their needs. Finally, these problems were solved with teamwork.
The future of the project
In the future, we plan to extend the data to the rest of the world to identify possible new cases or new pandemics.
Our plan:
Develop the algorithm in Latin America and Caribbean using the Datasets from the Space Agencies.
Using the DATA we can train the model for more precise prediction.
Improve the Dataset for more Regions in our Planet.
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