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@article{195594,
        author = {Kausthubh Peddibhotla and Sutrala Suvidyendra and A Anjani Prasad and Prof. K Radhika},
        title = {Multi - Modal Deepfake Detection System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {2176-2182},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195594},
        abstract = {The AI Presence Detector is a robust, AI-powered web application developed to counter the increasing threat of syn¬thetic and manipulated digital media. With the widespread use of deepfakes and AI-generated content, the authenticity of text, image, and video data has become a major concern. This project introduces a unified, multi-modal detection system that combines advanced machine learning models to analyze and classify content in real time. Users can upload various media types through a cen¬tralized interface, where videos and images are processed using CNNs and Hugging Face transformer models trained on datasets like Face Forensics++, and text content is evaluated using TF-IDF vectorization and an artificial neural network classifier. The system provides clear prediction results, manipulation scores, and interpretive feedback, all through a streamlined React.js frontend backed by a modular Flask server. Designed for accessibility, scalability, and performance, the platform supports temporary file management, concurrent processing, and a responsive user experience. It serves a wide range of users including educators, forensic professionals, journalists, and the general public by enabling them to verify content credibility quickly and reliably. The project also lays the groundwork for future enhancements such as live stream deepfake detection, audio content analysis, mobile deployment, and cloud integration. By blending state-of-the-art AI techniques with a user-friendly design, the AI Presence Detector fosters digital transparency, strengthens media integrity, and supports informed decision-making in an increasingly AI-driven world.},
        keywords = {Deepfake detection, Plagiarism detection, AI-generated text, CNN, Transformers, TF-IDF, ANN, Digital media authenticity},
        month = {April},
        }