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TEAM socet

TEAM

TRACK: Covid 19

MEMBERS:

Yash

Satyaraj

Prit

Ankit

Sahil

Moksha

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About Our Problem

  • During the COVID-19 pandemic there were many problems that we have faced whether it be the burst of corona cases or the lack of medical equipment for the treatment of COVID-19. But there was one other major problem except this virus which is confusion. According to the information available we can say that the symptoms of this virus are very similar to viral fever and flu, therefore confusing people what dieses they have. This eventually results in improper care and sometime even results in the death of patience. Well not anymore, what we are going to do is make a dieses prediction model which in return of few simple questions will give an accurate answer about what kind of dieses you have and what are required precaution one need to take.

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Our Vision

  • Our vision is to predict the time and type of the disease based on the symptoms enumerated.

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ML Dataset

  • The dataset includes set of 132 symptoms on basis of which model predict different diseases like Covid 19 ..

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Accuracy on test data by SVM Classifier: 100.0

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Accuracy on test data by Naive Bayes Classifier: 100.0

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Future Scope

  • We are aiming to provide the information on predicted disease patient has along with the precaution and treatment information on basis of answers by costumers on simple questions related to their symptoms.