Paper Title

DIGITAL FRAUD AD DETECTION USING ARTIFICIAL INTELLIGENCE

Article Identifiers

Registration ID: IJNRD_194304

Published ID: IJNRD2305408

DOI: Click Here to Get

Authors

KARTHIKEYAN R

Keywords

Image processing, yolo algorithm, image classification, Artificial intelligence, Fake Ads.

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.

How To Cite

"DIGITAL FRAUD AD DETECTION USING ARTIFICIAL INTELLIGENCE ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e63-e69, May-2023, Available :https://ijnrd.org/papers/IJNRD2305408.pdf

Issue

Volume 8 Issue 5, May-2023

Pages : e63-e69

Other Publication Details

Paper Reg. ID: IJNRD_194304

Published Paper Id: IJNRD2305408

Downloads: 000121152

Research Area: Information Technology 

Country: Coimbatore , Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305408.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305408

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High 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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

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