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Virtual Product Comparator, Navigator and Alternate Evaluator during COVID-19, Ensuring Safety from Home

Author(s):

Suyash Lokhande , Dr D Y Patil Institute of Technology Pune; Vedant Sharma, Dr D Y Patil Institute of Technology Pune; Suyash Chopda, Dr D Y Patil Institute of Technology Pune; Sarvesh Dhakunkar, Dr D Y Patil Institute of Technology Pune; Anil Kumar Gupta, IEEE

Keywords:

COVID-19, Product Ranking Algorithm, Price Tracking, Naïve Bayes, WordCloud

Abstract

Everyones day to day lives have been affected by COVID-19. People around the world have been asked to stay at home to slow down the pandemic, which they had never anticipated or practised before. Consumers have started realising that this is the "New Normal" and have begun changing their lifestyles accordingly but are still afraid of stepping outside their houses even to buy the essential products. Therefore, in many families, online grocery, apparel, and entertainment shopping are being done using various e-commerce websites. The fundamental purpose of our research is to provide consumers with the optimal product by comparing them on various retail sites using a product ranking algorithm. This system analyses and provides the cheapest yet best quality products to the consumer. It not only ranks products but also considers reviews of customers on each product and present a sentiment analysis approach on these reviews, which involves quantification of the sentiments of thousands of reviews. And finally, providing the end-user summarised data about the expressed emotions in the way of intuitive and easy to understand visualisation technique. And with increasing expenditure amidst the lockdown when people are looking for cheaper yet quality products, this system tracks the fluctuating price of various products and notifies the user that when the price of a particular product has been dropped. Due to this user need not to check and compare multiple products on various sites, saving their time and effort.

Other Details

Paper ID: IJSRDV8I70172
Published in: Volume : 8, Issue : 7
Publication Date: 01/10/2020
Page(s): 251-257

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