PREDICTION BASE ANALYSIS OF COVID 19 BY MACHINE LEARNING

Objective

The propose portal is designed for provide the accurate information about which cases are Positive, Negative and Recovered. Objective of this portal is as follows

• To improve the availability of information.

• To access the knowledge about covid-19 cases.

• To get the accurate prediction .

Goal

We need a strong model that predicts how the virus could spread across different countries and regions. The goal of this build a model that predict the spread virus in the upcoming 10 days like week and month.

Motivation

Right now people don't know how many active cases there are and only the news says that so many cases have increased but now they don't know how many cases there are. How much is the current cases and how long it will be? So we have chosen this project to let know everyone about accurate prediction of COVID cases. Therefore this portal designs.

Define the problem

This study aims to provide an early forecast model for the spread of novel coronavirus, also known as SARS-COV-2,officially named as COVID-19 by the World Health Organization(WHO). COVID-19 is presently a very serious threat to human life all over the world at the end of 2019.The virus was first identified in a city of china called Wuhan, when a large number of people developed symptoms like pneumonia. It has a diverse effect on the human body including server acute respiratory synchro me and multi organ failure and lead to death rate in a very short time. As the coronavirus outbreak continues to spread in the country the question What we as Indian are trying to answer is Will India be able to tackle this pandemic or are we going to witness another Italy or Wuhan.

Approach / Proposed Solution

Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed-decisions and enforce relevant control measures. Due to a high level of uncertainty and lack of essential data, standard models have shown low accuracy for long term prediction. Peoples are facing various problem regarding accuracy of covid -19 cases so , by using this portal, people can easily find out updated, live and predicted cases, and it also predict the state wise situation after next day which are available on one portal therefore this portal is designed.

Technology:-

• Data preprocessing

• Data Handling

• Feature Engineering

• Onehot Encoding

• Model Building

Libraries:-

• Pandas

• Numpy

• Sklearn

• Pickle

• Matploatlab

Software requirements:-

• Front End : HTML, CSS

• Back End : Python, Database (MYSQL)

Operating System: Windows 7,8,10

Hardware requirements:-

Hardware : RAM 2 GB

• Hard Disk : TB

Platform:-

Python

Framework: -

Django Framework is a high - level python Web-framework encourages rapid development & Clean , Pragmatic Design.

[1] F. E. Harrell Jr, K. L. Lee, D. B. Matchar, and T. A. Reichert,“Regression models for prognostic prediction: Advantages, problems, and suggested solutions”Cancer Treat. Rep., vol. 69, no. 10, pp. 1071,1077, 1985.

[2] G. Bontempi, S. B. Taieb, and Y.-A. Le Borgne, “Machine learning strategies for time series forecasting”,’ in Proc. Eur. Bus. Intell. Summer School. Berlin, Germany: Springer, 2012, pp. 62-77

[3] S. Makridakis, E. Spiliotis, and V. Assimakopoulos, “Statistical and machine learning forecasting methods: Concerns andways forward”, PLoS ONE, vol. 13, no. 3, Mar. 2018, Art. no. e0194889.

https://github.com/ruchapatil123/Templtes.git