DeepVerify FYP Defense
📑 5 slides
👁 13 views
📅 2/16/2026
Abstract
AI-based system to detect deepfake images/videos and multimedia plagiarism.
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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.
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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.
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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.
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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.
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