Abstract: Detection of Manipulated Media with AI is a system designed to counter the growing issue of false or altered multimedia content across digital platforms. In recent years, the spread of deepfakes and edited media has posed serious challenges to authenticity and public trust. This project makes use of artificial intelligence, particularly deep learning techniques like convolutional neural networks (CNNs), to spot signs of tampering in audio, video, and image files. It analyzes inconsistencies and manipulation patterns that are often invisible to the human eye. A simple user interface allows users to upload content for verification, offering real-time classification as authentic or altered. The solution is scalable, efficient, and plays a vital role in media verification, especially for journalists, legal investigators, and content moderators. It supports the fight against misinformation and promotes integrity in digital communication.

Keywords: Fake Media, Deepfake Detection, AI, CNN, Media Authentication, Digital Integrity, Image Forensics, Video Verification, Audio Analysis

| DOI: 10.17148/IARJSET.2025.125212