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@article{174326,
        author = {VATTEPU PRAVALIKA and D. UMAMAHESHWARI and P.Himabindu and B.Vijayasree},
        title = {Deepfake Detection Using Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {3846-3851},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174326},
        abstract = {The Deepfake Detection Using Machine Learning" addresses the escalating concerns surrounding the proliferation of manipulated media by leveraging advanced technological solutions. This pioneering approach harnesses the power of machine learning to discern authentic content from sophisticated deepfake manipulations. The system employs deep neural networks and intricate algorithms to analyze subtle patterns, inconsistencies, and artifacts within multimedia files, distinguishing between genuine and artificially generated content.},
        keywords = {JAVA, BN, JPEG, CNN, ReIU, FCN, Conv2D.},
        month = {March},
        }