CHATBOT IDENT COVID 19.

OPERATIONAL REMOTE IDENTIFICATION OF DISEASES (COVID – 19). IDENTIFICATION OF INFORMATION BY XAI ON BASE OF COMPARING ARRAYS ARRANGED BY A SPECIAL DATA BY THE AUTHOR'S METHOD

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Inspiration

It is necessary to quickly identify epidemics of dangerous diseases. This allows you to quickly localize their distribution. Another problem is the monitoring of patients requiring constant care using well-known trackers. This makes it possible to provide them with medical care in a timely manner. For this, our chat bot has been created to detect epidemics of dangerous diseases and to constantly monitor patients requiring constant care using well-known trackers.

What it does

Our chat bot collects data about the patient through a tracker or the patient himself enters data into the chat bot for a preliminary assessment of the presence of a dangerous disease. The chatbot is located in the Amazon cloud service at http://ec2-3-120-138-190.eu-central-1.compute.amazonaws.com/ Login through the site using the links http://tod.zzz.com.ua/index.php/en/. The data through the tracker's sensors are entered via mobile communication to the monitors in the hospital and help to track the condition of patients with the help of our XAI. On the basis of these data, XAI helps to assess the patient's condition and speed up his care.

How we built it

Our chatbot is written in C ++ for the Amazon cloud service. Made on the basis of explainable artificial intelligence that does not require long learning, which is able to integrate external knowledge bases.

Challenges we ran into

There are no standard protocols for identifying dangerous diseases for their quick identification.

Accomplishments that we're proud of

Optimization of algorithms during the competition.

What we learned

We met amazing people so far, found new partners and friends and could improve our software thanks to the input and mentorship we have received so far.

What's next for CHATBOT IDENT COVID 19.

We need to further simplify our software, find additional partners for testing and validation and get funding to bring the project to the next level.

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