COVID-19 Patient Count Prediction Using LSTM
COVID-19 outbreak will result in negative impact on the country economy and also it affect the lives of people. World Health Organization (WHO) declared on Jan 30,2020 as health emergency for entire globe. More than 3 million people on Apr.28,2020 were infected by this virus and there was no vaccine to prevent. Certain Guidelines was released by WHO for safety.
With the use of computer science technology with focus on domain such as machine learning and data science can help in fight against this pandemic. Early warning methods is important through which one can forecast that how much disease will affect society and on the basis of which the government take necessary steps without affecting its economy.
Machine Learning algorithm are used and can be used for two solutions, first for forecasting the number of positive cases and second for predicting the chances of being infected.
Project Functionality of Covid-19 Cases Prediction:-
1. Forecast COVID-19 Cases for any country.
- i). Number of days to predict.
- ii). Country to Predict
- iii). Forecast data in graphical form
- iv). Forecast data in Table form
- v). About Algorithm Used : Prophet
2. WHO guidelines for COVID-19
3.About COVID-19 and US
4. Exit Software Algorithm: Prophet
Corona Cases Prediction using Machine Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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