| dc.description.abstract | In this emerging world of the internet, there is lots of data present and retrieving this data
becomes very complicated. As a result, web scraping is one of the important method of
data gathering. Web scraping is a technique of extracting data from various websites and
depending on the tool end-users can accessthe data in severalformats such as spreadsheet,
csv, json, xml and database. Web scraping is used in many fields like e-commerce, market
research,brandmonitoringand etc. Our system proposes amethod of fetchingproduct data
from e-commerce websites and comparing them. For extracting data different tools are
used such as Scrapy, BeautifulSoup, Selenium, etc. Our system uses Selenium for
extracting data. After extraction data is stored into MySQL database. This data is then
displayed in a comparable format on our webapp. Visiting websites one by one and
comparing product details is time consuming, so to overcome this our system will display
all the product details from various websites, which will help the end-user to compare the
products. Machine learning is a branch of artificial intelligence (AI) and computer science
which focuses on the use of data and algorithms to imitate the way that humans learn,
gradually improving its accuracy. Prediction model is an information output generated by
an ML algorithm trained on historical input data. A machine learning prediction is simply
a model’s output when provided with an input. Reliable ML predictions offer valuable
insights leadingto more confident and guided decisions by businesses. e.g.,Business sales
forecast for the next quarter, Likelihood of customer churn for a specific brand, etc. | en_US |
