DeepVerify FYP Defense

📑 5 slides 👁 13 views 📅 2/16/2026
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Abstract

AI-based system to detect deepfake images/videos and multimedia plagiarism.

Abstract
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Objectives

  • Study deepfake techniques and design AI models for image/video verification.
  • Develop plagiarism detection algorithms and generate similarity reports.
  • Create a user-friendly web interface and evaluate system performance.
Objectives
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Novelty

  • Combines deepfake and plagiarism detection in one platform.
  • Web-based solution for offline media with detailed reports.
  • No similar project approved at BULC; outperforms existing tools.
Novelty
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Deliverables

  • Web app with deepfake detection and plagiarism modules.
  • Detailed analysis reports for uploaded media files.
  • Focus on offline media with optional cloud processing.
Deliverables
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Beneficiaries

  • Students, researchers, and journalists benefit from accurate verification.
  • Educational institutions and content platforms combat media manipulation.
  • Supports secure and reliable media authentication for various users.
Beneficiaries
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