Tomorrow's World (COVID-19)

The Covid-19 or the Novel Corona Virus, now known to the world as one of the most feared. The virus, which was first detected in Wuhan, China, has now spread to many countries around the world, and the number of deaths from the virus is increasing on a regular basis. And the number of traumas is increasing. Now the biggest panic is that the disease is relatively difficult to detect and so far no antidote to cure the virus has been found, which is why the chances of death of the coronavirus are increasing day by day. We have developed an Artificial Intelligence program to learn how to deal with this coronavirus through machine learning and statistical learning. The program through which we can get a sense of the future status of this coronavirus. Basically, this program will tell us how many people can be infected with the coronary virus in the next one week, how many patients can die and how many can recover. As a result, ideas will be made in advance about future coronary conditions, and be prepared to deal with the virus. We've been working for a long time to perfect this program. Our intention was to know about Corona's future status in some way, so that we could be prepared in advance. To perform this type of works, we went through various types of ordinary machine learning and deep learning algorithm. But no one can perform perfectly. Consequently, we developed a new non-parametric statistical learning and online machine learning algorithm and named as "Learning for Tomorrow". The main feature of this algorithm is that, when new data will come, it will learn from this data and make a perfect relationship with the previous data. So a function will be created, which will aid to detect future conditions. Approximately, I can forecast about 7-10 days perfectly which is much more accurate and acceptable. We believe this program will contribute to the fight against the Coronavirus.

Note: All kind of information used in this AI program related to the COVID19 virus are collected from the bellow link and this program analyzes this information for future probabilities regarding this virus. Therefore, it'd be completely irrational to blame us for any kind of misinformation.

Link:

ncov2019.live

worldometers