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IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

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Impact Factor : 8.76

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Paper Title: DIGITAL FRAUD AD DETECTION USING ARTIFICIAL INTELLIGENCE
Authors Name: KARTHIKEYAN R
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IJNRD_194304
Published Paper Id: IJNRD2305408
Published In: Volume 8 Issue 5, May-2023
DOI:
Abstract: The project is entitled as “Digital Fraud Ad Detection Using Artificial Intelligence (AI)” created by using Python as front end and MySql as backend. Nowadays fake ads are posted in all websites. So the buyer can unexpectedly view the ads and purchase the products based on the fraud ads and lose their money. It is a difficult process for the buyer to identify the fake ads. For overcome this problem we are going to develop this web application. Digital fraud ads detection is a web application that allows user to get complete original ads information through this web application. The intention of this project is to find the fraud ads and without making them to provide too much of false information regarding ads. The buyer and seller can login at anytime from anywhere. Seller can register/login in this application they can post and upload any number ads such as Ad name, Price Information, Date, Content, Contact Details, Ads image, etc. This proposed application analyzes user upload ads real or fake using Patten matching technique. This application automatically classifies the ads fake ads and real ads separately. User can able to view original ads effectively. Based on user interest they can buy using website. This system has been developed with an intention to make the system user-friendly thus reducing the manual work. The system has been developed with advanced features.
Keywords: Image processing, yolo algorithm, image classification, Artificial intelligence, Fake Ads.
Cite Article: "DIGITAL FRAUD AD DETECTION USING ARTIFICIAL INTELLIGENCE ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e63-e69, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305408.pdf
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ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2305408
Registration ID: 194304
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: e63-e69
Country: Coimbatore , Tamil Nadu, India
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305408
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305408
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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