Web Based Covid Prediction Using Machine Learning
The covid-19 was new for everyone and no one was aware of it before end of 2019.When it came there was uncertainty everywhere around the globe. The trend of life got changed everywhere in the world. Everyone was afraid that what is going to happen in next moment. We are making Web based Application
Project Title
Web Based Covid Prediction Using Machine Learning
Project Area of Specialization
Project Summary
The covid-19 was new for everyone and no one was aware of it before end of 2019.When it came there was uncertainty everywhere around the globe. The trend of life got changed everywhere in the world. Everyone was afraid that what is going to happen in next moment. We are making Web based Application using machine learning which predicts the trend of covid-19 spread of next 14 days along with its regions. This web-based application is going to help in prediction and forecasting of covid-19 spread in next 14 days.
Project Objectives
1.To make a system that will contribute in taking precautionary measures against the covid -19 pandemic.
2.To develop Web Based Covid -19 Predictor Using Machine Learning to predict covid-19 situation for fortnight.
3.To show graphical presentation of Covid-19 cases.
4.To perform Comparative Analysis of predictive models (e.g ARIMA ES and RNN).
Project Implementation Method
This system will help us to understand the forecast of covid-19 in coming days .We will make Web based prediction system in which will take datasets from different sources then we will transform data after this, we will train data and test data .Later we will test train data and after testing and validation we will show prediction on website using ARIMA ,Exponentrial smoothing and RNN. We will show prediction in the form of graphs, statistics and mapping using python libraries. We will also perform comparative analysis on the performance of these models by applying RMSE(Root mean Square Error). This system will alert us to take safety measures according to the future situations and forecast.
Benefits of the Project
Web based predicting system would predict the growth of the coronavirus for the next 14 days on the bases of datasets of previous months. It will Display graphs, charts and maps using Python libraries. It will also give a comparative analysis of output of ARIMA , ES and RNN which predicts most appropriately.
Technical Details of Final Deliverable
We will make Web Based Application which predicts about spread of covid-19 using machine learning . We will be using Machine learning algorithms for prediction and RMSE for comparative analysis of performance of these machine learning algorithm.Python libraries willbe used to show where covid-19 cases have been reported and how many cases are on the map. Python libraries will be used for visualizing geospatial data.
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Paid Courses | Equipment | 4 | 10000 | 40000 |
| Total in (Rs) | 40000 |
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