Paper Title

Deep fake Generator

Article Identifiers

Registration ID: IJNRD_191383

Published ID: IJNRD2304422

DOI: Click Here to Get

Authors

Rahul Sharma , Sanskar singhal , Sonal Choudhary , Deepak moud

Keywords

Media copyright, advertisement, Deep-Fake, Convolutional Neu- ral Network(CNN), Deep Neural Networks (DNN),Deep Convolutional Neural Network(DCCGAN),Recurrant Neural Netowrk(RNN), Generative Adversarial Networks (GANs).

Abstract

Technological evaluation puts us at a really advanced stage nowadays. Over the last few decades, we have become in- increasingly reliant on machines. With the development of machine learning and artificial intelligence, machines have become smarter and can perform a greater variety of actions. There are synthetic media, such as photographs, videos, and audio files, that are used for a variety of reasons. In the past, media manipulation has always involved humans and has been heavily reliant on their needs. Deep-Fakes mainly refer to face swapping or making fake appearances of facial features of any human being. Recent developments in machine learning, deep learn- ing, and artificial intelligence (AI) enable users to swap the faces and voices of other people in images, videos, and films to make it appear as though they did something or are saying anything they want to refers to audio files manipulation. This technology is known as "deep-fake," which allows media manipulation using machine learning and AI.

How To Cite

"Deep fake Generator ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 4, page no.e152-e156, April-2023, Available :https://ijnrd.org/papers/IJNRD2304422.pdf

Issue

Volume 8 Issue 4, April-2023

Pages : e152-e156

Other Publication Details

Paper Reg. ID: IJNRD_191383

Published Paper Id: IJNRD2304422

Downloads: 000121196

Research Area: Engineering

Country: Bhilwara, Rajasthan , india

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304422.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304422

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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