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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: June 2026
Volume 11 | Issue 6
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 121
Article Submitted : 24719
Article Published : 9358
Total Authors : 24865
Total Reviewer : 861
Total Countries : 169
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| Paper Title: | Deepfake image detection using AI |
| Authors Name: | Soham Powar , Harshad Hatte , Sandeep Mane , Soham Patil |
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IJRTI_212864
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| Published Paper Id: | IJRTI2605150 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | The exponential growth of Artificial Intelligence (AI) and deep learning technologies has enabled the generation of highly realistic synthetic images known as deepfakes. These manipulated images are created using advanced generative models such as Generative Adversarial Networks (GANs) and autoencoders, which can convincingly alter facial features, expressions, and identities. While deepfake technology offers creative and entertainment benefits, it also introduces severe risks including misinformation dissemination, digital identity theft, reputational damage, political manipulation, and cybersecurity threats. This research presents a comprehensive AI-based Deepfake Image Detection System that identifies manipulated images using deep convolutional neural networks (CNNs), transfer learning, and frequency-domain analysis. The proposed model extracts both spatial and spectral features to detect subtle inconsistencies introduced during the deepfake generation process. The system is trained and evaluated on benchmark datasets to ensure reliability and robustness. Experimental results demonstrate that the proposed approach achieves high classification accuracy, improved generalization capability, and real-time detection performance. The system provides a scalable and practical solution for deployment in digital forensic tools, social media monitoring systems, and cybersecurity platforms. |
| Keywords: | Deepfake Detection, Artificial Intelligence, Convolutional Neural Networks, Digital Forensics, GAN Detection, Cybersecurity |
| Cite Article: | "Deepfake image detection using AI", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.b434-b436, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605150.pdf |
| Downloads: | 00091 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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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Published Paper ID: IJRTI2605150
Registration ID:212864
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: b434-b436 Country: Kolhapur , Maharashtra , India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605150 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605150 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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