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Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/4758
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dc.contributor.authorBhardwaj, Arpit
dc.contributor.authorSharma, Kapil Dev
dc.contributor.authorKumar, Kishore
dc.contributor.authorBharani, Lavanya
dc.date.accessioned2024-05-30T11:40:16Z-
dc.date.available2024-05-30T11:40:16Z-
dc.date.issued2023
dc.identifier.issn978-93-5053-903-3
dc.identifier.urihttp://lrcdrs.bennett.edu.in:80/handle/123456789/4758-
dc.description.abstractWe acquired data from e-commerce websites such as Flipkart and Snapdeal via web scraping for this project, utilizing well-known Python libraries such as BeautifulSoup and Selenium. A Python web application framework called Streamlit was utilized to create the website due to its high utility and user-friendliness. We used a dataset of 44,000 images downloaded from Kaggle to train a machine learning model consisting of the TensorFlow and ResNet50 models for the second phase of the project. A widely recognized convolutional neural network (CNN) is Resnet50. We incorporated the trained model into the Streamlit web application.en_US
dc.publisherCyber Tech Publicationsen_US
dc.titleA Real-Time Scraping Clothing Comparison E-Commerce Websiteen_US
dc.typeBook Chapteren_US
Appears in Collections:Book Chapters_ SCSET

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