COVID-19 PREDICTIONS (A ML MODEL)

Abstract

The current destructive pandemic of coronavirus disease 2019 caused by severe acute respiratory syndrome coronavirus 2 was first reported in Wuhan china, in December 2019. COVID-19 has affected more than 100 countries in a matter of no time. In such a situation , forecasting and proper study of pattern of disease spread can inspire design better strategies to make more efficient decision. Technology advancement have a rapid effect on every field of life. Artificial intelligence has shown the promising results in healthcare through its decision making by analysis the data. Machine learning requires a huge amount of data for classifying or predicting diseases . Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. Covid-19 Prediction(A Machine Learning Model) is basically designed to facilitate nation. People can get knowledge through this system about the current disease. They can predict cases by easily login to the website. This system consists of two parts. In First part we get dataset from Kaggle website and after preprocessing of data I did different analysis.Data analysis allows analysts, researchers, and business users to make better and faster decisions using data that was previously inaccessible or unusable. Data Science is an interdisciplinary field that combines machine learning, statistics, advanced analysis, and programming. There are two type of analytics. Predictive analytics and Descriptive analytics. Prescriptive analytics is an advanced analytics technology that can provide recommendations to decision makers and help them achieve business goals by solving complicated optimization problems. Predictive analytics brings together advanced analytics capabilities spanning ad-hoc statistical analysis, predictive modeling, data mining, text analytics, optimization, real-time scoring and machine learning. These tools help organizations discover patterns in data and go beyond knowing what has happened to anticipating what is likely to happen next. In Analysis I use different graphs which helps user to get information in just one look. After This I tried different models for my data. In second part, I get data from the trained model and store in pickle file. Then this data is used to predict cases. User get (seen) this data on their screen through Flask. Flask is a lightweight WSGI web application framework. It is designed to make getting started quick and easy, with the ability to scale up to complex applications. It began as a simple wrapper around Werkzeug and Jinja and has become one of the most popular Python web application frameworks. I develop a website with the help of Javascript and Bootstrap which consists of different pages. User can browse to these pages and get their desired data about Covid_19. I have also used MYSQL for storing data. I have attach database to my website which store the data entered by user into database for future use.