Deepfake Detection

Deepfake Detection

1FATHIMA ROSNA T A, 2FATHIMA HANNATH, 3MEGHA K S, 4HARIPRIYA, 5Ms SREEJI
1Student, 2Student, 3Student, 4Student,5Assistant Professor (CSE)  Computer Science and Engineering Department,

Nehru College of Engineering and Research Centre (NCERC), Thrissur, India

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Abstract - In the age of AI, deepfake technology has emerged as a critical challenge, producing hyper-realistic yet manipulated images, videos, and audio that blur the line between reality and fabrication. These deepfakes pose serious risks, including spreading misinformation, compromising privacy, and undermining trust in digital media. Our project, DeepShield, is a robust web based platform developed to detect and mitigate the impact of deepfake content. Designed for accuracy and efficiency, DeepShield identifies and classifies manipulated media across images, videos, audio files, and social media links. Leveraging advanced AI and machine learning, the system examines key indicators such as facial features, audio-visual inconsistencies, and digital artifacts, ensuring high detection precision. By processing large datasets rapidly, DeepShield offers a reliable tool for individuals, media professionals, and organizations to combat the spread of deceptive content. Through its user-friendly design, DeepShield provides a practical solution to the growing threat of deepfake technology, reinforcing authenticity in the digital age.

Key Words: Deepfake, Detection, Misinformation, AI (Artificial Intelligence),  Privacy