Deepfake Analyzer
Deepfake videos have gotten alarmingly realistic, and spotting the difference between genuine footage and clever fakes is now a critical task for everyone from cybersecurity teams to journalists.In this work, we trained and tested several machine learning models on the FaceForensics++ dataset-packed with both real clips and manipulated ones-and found that MobileNetV2 delivered the best results with 96% accuracy.Here, we share how we set up our experiments, the insights we gained, and what the road ahead looks like for making detection tools even more robust.
Authors
- Mukesh Choudhary (ORCID: https://orcid.org/0000-0003-2828-4829)
- R. Satish Kumar
Institutions
- Maharaja Engineering College (IN)
Publication Details
- Journal
- International Journal of Research Publication and Reviews
- Published
- 2025-04-01
- DOI
- https://doi.org/10.55248/gengpi.6.0425.16136
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00