The prices of the products in the E-commerce sites change frequently. It becomes very difficult for the users to monitor
the prices and get the best deal available on the internet. The proposed model tackles this problem by creating a user-friendly
model using Web scraping and machine learning concepts so that the model can be used by the users to monitor and compare
the prices of products across the websites, send an email alert notification when there is a price drop and also to predict the
future prices.
