Abstract: Online purchasing is gradually displacing traditional shopping methods in every manner. As a result of pandemic, it has gained traction and has become the new normal. From shoes to food, everything is now available on E-cart. People like to purchase online since there are so many possibilities in each area. Users can notice the price differences between websites and, as a result, the majority people will choose the service with the lowest price. So, in order to stay ahead of the competition, business minds are constantly devising new strategies in order to maximize the profit from each sale. They come up with enticing offers in order to attract more clients. In the E-commerce industry, dynamic pricing is currently the most popular method. Consumer may find it challenging to keep up with the pricing changes that occur every 10 minutes on average. They give the illusion that the goods is on sale on that particular by doing so. We offer a basic price tracker application in this paper that tracks the price of a product and notifies the customer when the price reaches the desired level. It will get the customer pricing from the browser and act in accordance with the customer’s wish.

Keywords: MIMIC 2, EHR, Clinical notes, NLP, Bidirectional LSTM, BERT, Ensemble learning.

PDF | DOI: 10.17148/IJARCCE.2022.116126

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