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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: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21604
Article Published : 8531
Total Authors : 22438
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | DeepFake AI Detection & Restoration |
| Authors Name: | Pranjal Singh , Dharmesh Chavda , Pratik Rajput , Ayush Patel |
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IJRTI_201712
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| Published Paper Id: | IJRTI2503178 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | |
| Abstract: | Deepfake technology has rapidly evolved, enabling the creation of highly convincing synthetic media, which poses significant risks to digital security, misinformation, and privacy. Existing detection systems struggle with accuracy, efficiency, and the ability to restore manipulated content. To address these challenges, we introduce an AI-driven Deepfake Detection and Restoration system, designed to identify and mitigate deepfake alterations across images, videos, and audio. Our system leverages a Retrieval-Augmented Generation (RAG) framework to enhance detection precision and restoration effectiveness. The proposed system integrates a vector database for rapid retrieval of authentic media and a knowledge-graph database for structuring vast multimodal datasets. Additionally, we develop methodologies to process unstructured content, including morphed visuals and altered audio, by converting them into vectorized representations. The retrieval mechanism employs cosine similarity and Maximum Marginal Relevance (MMR), evaluated through Recall and Precision metrics. Unlike traditional deepfake detection models, our approach incorporates both identification and restoration capabilities, ensuring digital integrity and safeguarding against misinformation. |
| Keywords: | Deepfake Detection, AI Restoration, Retrieval Augmented Generation, Knowledge-Graph Database. |
| Cite Article: | "DeepFake AI Detection & Restoration", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b518-b523, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503178.pdf |
| Downloads: | 000550 |
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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: IJRTI2503178
Registration ID:201712
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier):
Page No: b518-b523 Country: Vadodara, Gujarat, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503178 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503178 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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