ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
Low Cost₹1501 / $59
CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
PixelTruth: AI-Powered Deepfake Forensic Analyzer
Authors
Suresh V. Reddy , Prof. Harshali Bodkhe , Swaraj Kedari , Durvesh Shinde , Rahul Sutar,Sumedh Hajare
Keywords
Deepfake, Forensic Analysis, Artificial Intelligence, Machine Learning, CNN, Digital Trust
Abstract
Deepfakes have emerged as a significant threat in today's digital age, enabling the creation of highly realistic manipulated videos and images that are difficult to identify without special tools.
These fake media can lead to issues like spreading false information, fraud, political manipulation, and reduced confidence in digital evidence. PixelTruth introduces an AI-driven forensic tool that uses advanced machine learning and deep learning techniques to detect and expose deepfakes. It uses CNN models, frequency analysis, and mixed feature extraction methods to spot inconsistencies in faces, lip movements, and texture patterns. This system can accurately and quickly detect deepfakes and is useful in journalism, law enforcement, and content moderation.
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How To Cite
Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.
IJCRT — journal style
"PixelTruth: AI-Powered Deepfake Forensic Analyzer", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 10, page no.27-30, October 2025, Available :https://ijcrt.org/papers/IJCRTBH02006.pdf
APA — 7th edition
Reddy, S. V., Bodkhe, H., Kedari, S., Shinde, D., & Rahul Sutar, S. H. (2025). PixelTruth: AI-Powered Deepfake Forensic Analyzer. International Journal of Creative Research Thoughts, 13(10), 27-30. https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02006
MLA — 9th edition
Reddy, Suresh V., et al. "PixelTruth: AI-Powered Deepfake Forensic Analyzer." International Journal of Creative Research Thoughts, vol. 13, no. 10, 2025, pp. 27-30, https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02006.
Chicago — 17th, bibliography
Reddy, Suresh V., et al. "PixelTruth: AI-Powered Deepfake Forensic Analyzer." International Journal of Creative Research Thoughts 13, no. 10 (2025): 27-30. https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02006.
Harvard — author–date
Reddy, S.V. et al. (2025) 'PixelTruth: AI-Powered Deepfake Forensic Analyzer', International Journal of Creative Research Thoughts, 13(10), pp. 27-30. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02006
IEEE — numbered reference
S. V. Reddy, H. Bodkhe, S. Kedari, D. Shinde and S. H. Rahul Sutar, "PixelTruth: AI-Powered Deepfake Forensic Analyzer," IJCRT, vol. 13, no. 10, pp. 27-30, Oct. 2025.
Vancouver — biomedical
Reddy SV, Bodkhe H, Kedari S, Shinde D, Rahul Sutar SH. PixelTruth: AI-Powered Deepfake Forensic Analyzer. IJCRT. 2025 Oct;13(10):27-30.
AMA — 11th edition
Reddy SV, Bodkhe H, Kedari S, Shinde D, Rahul Sutar SH. PixelTruth: AI-Powered Deepfake Forensic Analyzer. IJCRT. 2025;13(10):27-30. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02006
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRTBH02006,
author = {Suresh V. Reddy and Harshali Bodkhe and Swaraj Kedari and Durvesh Shinde and Sumedh Hajare Rahul Sutar},
title = {PixelTruth: AI-Powered Deepfake Forensic Analyzer},
journal = {International Journal of Creative Research Thoughts},
volume = {13},
number = {10},
pages = {27-30},
year = {2025},
month = {October},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02006}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Reddy, Suresh V.
AU - Bodkhe, Harshali
AU - Kedari, Swaraj
AU - Shinde, Durvesh
AU - Rahul Sutar, Sumedh Hajare
TI - PixelTruth: AI-Powered Deepfake Forensic Analyzer
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 13
IS - 10
PY - 2025
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02006
SP - 27
EP - 30
ER -
Issue
Volume 13 Issue 10,
October-2025
Pages : 27-30
Article Information
- Published In
- International Journal of Creative Research Thoughts — Volume 13, Issue 10, October 2025
- Pages
- 27-30
- Published
- October 2025
- Registration ID
- IJCRT_295208
- Published Paper ID
- IJCRTBH02006
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 264
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRTBH02006
- Published Paper PDF
- https://ijcrt.org/papers/IJCRTBH02006.pdf
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International Journal of Creative Research Thoughts
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2320-2882
ISSN
9.17
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2013
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Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
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