Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.12 Issue.2

Submission
Last date
28-Apr-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-2. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  Leveraging Machine Learning and AI for Deepfake Recognition
PaperId: :  27412
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 4 2025
DUI:    16.0415/IJARIIE-27412
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Bhargav S BT John Institute of Technology
Mr. M SelvamT John Institute of Technology

Abstract

Computer science
Deepfake Detection, Metadata Analysis, Machine Learning, Fake Video Identification, Content Moderation.
The emergence of deepfake videos has introduced a significant challenge to digital security, media integrity, and public trust. These artificially manipulated videos, powered by deep learning technologies, that are increasingly being used to spread misinformation, conduct cybercrimes, and manipulate public opinion. Conventional detection mechanisms largely rely on computationally intensive video or audio analysis, such as identifying facial artifacts, speech irregularities, or frame inconsistencies. However, these methods are resource-heavy, limited in scalability, and often ineffective when video quality is compromised or when adversaries employ obfuscation techniques. This research proposes a metadata-driven detection framework leverages the machine learning algorithms trained on structured attributes including video identifiers, titles, tags, publishing times, engagement metrics, and textual descriptions to classify videos as genuine or manipulated. Numerous classifiers, Support Vector Machine (SVM), Logistic Regression, Gradient Boosting, Decision Tree, K-Nearest Neighbours, are assessed based on accuracy, precision, recall, F1-score, with optimization through preprocessing and hyperparameter tuning. The system is deployed via a Flask-based web-application, offering real-time predictions through a user-friendly interface. By shifting from resource-heavy video analysis to contextual metadata evaluation, the proposed system provides a lightweight, and practical solution for combating the rising threat of deepfake media.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Bhargav S B, and Mr. M Selvam. "Leveraging Machine Learning and AI for Deepfake Recognition" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 4 2025 Page 3921-3926
MLA Bhargav S B, and Mr. M Selvam. "Leveraging Machine Learning and AI for Deepfake Recognition." International Journal Of Advance Research And Innovative Ideas In Education 11.4(2025) : 3921-3926.
APA Bhargav S B, & Mr. M Selvam. (2025). Leveraging Machine Learning and AI for Deepfake Recognition. International Journal Of Advance Research And Innovative Ideas In Education, 11(4), 3921-3926.
Chicago Bhargav S B, and Mr. M Selvam. "Leveraging Machine Learning and AI for Deepfake Recognition." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 4 (2025) : 3921-3926.
Oxford Bhargav S B, and Mr. M Selvam. 'Leveraging Machine Learning and AI for Deepfake Recognition', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, 2025, p. 3921-3926. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Leveraging_Machine_Learning_and_AI_for_Deepfake_Recognition_ijariie27412.pdf (Accessed : ).
Harvard Bhargav S B, and Mr. M Selvam. (2025) 'Leveraging Machine Learning and AI for Deepfake Recognition', International Journal Of Advance Research And Innovative Ideas In Education, 11(4), pp. 3921-3926IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Leveraging_Machine_Learning_and_AI_for_Deepfake_Recognition_ijariie27412.pdf (Accessed : )
IEEE Bhargav S B, and Mr. M Selvam, "Leveraging Machine Learning and AI for Deepfake Recognition," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, pp. 3921-3926, Jul-Aug 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Leveraging_Machine_Learning_and_AI_for_Deepfake_Recognition_ijariie27412.pdf [Accessed : ].
Turabian Bhargav S B, and Mr. M Selvam. "Leveraging Machine Learning and AI for Deepfake Recognition." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 4 ().
Vancouver Bhargav S B, and Mr. M Selvam. Leveraging Machine Learning and AI for Deepfake Recognition. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(4) : 3921-3926. Available from: https://ijariie.com/AdminUploadPdf/Leveraging_Machine_Learning_and_AI_for_Deepfake_Recognition_ijariie27412.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
WORD-LEVEL BLUR FOR REAL-TIME SCREEN ABUSE DETECTION: IMPLEMENTATION AND EVALUATIONcomputer Engineeringsohel sayyad Download
Heart Attack Risk Prediction Using Retinal Eye ImagesMachine LearningPrasanthi Siri Kuruma Download
Real Time Zero Knowledge Privacy & Ai Security for currency Transaction Using EthereumComputer EngineeringPANTHULA SAI MURALI Download
JANMITRA - AI POWERED PLATFORM BRIDGING SOCIETIES WITH NGO'S AND ORGANIZATIONScomputer engineeringUMESH AAGDE Download
Improvising Personalized Travel Recommendation System with Recency Effectscomputer science engineeringMrs. Fathima Zahera Download
Ensemble Models and Explainable AI for Malware DetectionComputer Science M Vandana Download
Smart E-Healthcare SystemComputer EngineeringVattikoti Sai Download
SURVEY ON RETAIL INSIGHT GENERATOR: VISION AI FOR CUSTOMER ANALYTICS AND HEATMAPSComputer EngineeringAmalkrishna K B Download
SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEMComputer science Athira Thomas Download
Consumer Behavioural Analysis Using Advanced Clustering TechniquesComputer Science and EngineeringSupriya Thati Download
A Low-Cost Smartphone-Based Sign Language Translator Using Computer Vision for Real-Time Deaf–Hearing CommunicationComputer Science and EngineeringHarsh Mishra Download
Predicting Stock Market Trends using Deep Learning TechniquesComputer Science and EngineeringAkruthi Shere Download
A SURVEY ON SMART VOTING SYSTEM USING BLOCKCHAINComputer Science EngineeringAleena Shaju Download
A SURVEY ON SECURESCAN 360: CYBER INTEGRATED SYSTEM FOR THREAT DETECTION AND IMAGE AUTHENTICATIONComputer Science and EngineeringAparna Sunil Download
Efficient Use of Dialog Boxes in GUI Development using VB.NETComputer ScienceDR. RISHI MATHUR Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2026. IJARIIE. All Rights Reserved.