International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 5
September-October 2026
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Deepfake DEEPFAKE AND AI-GENERATED IMAGE DETECTION SYSTEM
| Author(s) | Ms. Iskand Wadhwa, Mr. Yash Choudhary, Ms. Prerna Chauhan, Ms. Anjali Singh, Mr. Sambit Sathua, Prof. Shaffy Bains |
|---|---|
| Country | India |
| Abstract | The rapid advancement of deep learning and gen- erative artificial intelligence (AI) has led to the proliferation of deepfake and AI-generated images, posing significant challenges to digital media integrity, security, and trust. These technologies, while beneficial in creative and entertainment domains, have also been exploited for malicious purposes, including misinfor- mation, identity theft, and fraud. To address these concerns, this research proposes a robust and scalable Deepfake and AI-Generated Image Detection System. Leveraging state-of-the- art machine learning techniques, including convolutional neural networks (CNNs), generative adversarial network (GAN) dis- criminators, and transformer-based architectures, the system is designed to identify subtle artifacts and inconsistencies inherent in synthetic media. The proposed framework incorporates multi- modal analysis, combining visual, spatial, and frequency-domain features to enhance detection accuracy. Additionally, the system is trained on a diverse and comprehensive dataset comprising both publicly available and custom-generated deepfake and AI-generated images to ensure generalizability across various manipulation techniques. Experimental results demonstrate the system’s effectiveness in achieving high precision and recall rates, outperforming existing detection methods. This research con- tributes to the ongoing efforts to combat digital misinformation and uphold the authenticity of visual media in the age of AI. |
| Keywords | component, formatting, style, styling, insert |
| Field | Engineering |
| Published In | Volume 7, Issue 2, March-April 2025 |
| Published On | 2025-04-20 |
| DOI | https://doi.org/10.36948/ijfmr.2025.v07i02.42245 |
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E-ISSN 2582-2160
CrossRef DOI prefix of IJFMR is 10.36948/ijfmr
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