International Journal of Scientific Research and Engineering Development

Digital platforms face severe problems like manipulated media, identity theft, misinformation buildup, and deep fake proliferation. Traditional systems for media verification may lack transparency, efficiency, and scalability. In this study, an automated deep fake identification system is presented as an intelligent web application that can facilitate the detection of manipulated images and automate the verification process. It allows users to upload images along with comprehensive details, using Convolutional Neural Network (CNN) methods to classify authenticity and provide more clarity. The system incorporates a robust framework designed for general users, digital forensics administrators, and cyber security officials to ensure efficient media verification.

Mayuresh Sudhakar Joshi, Santosh Gaikwad,"Intelligant Deepfake Image Identification Using Convolutional Neural Networks" International Journal of Scientific Research and Engineering Development, V9(3): Page(1246-1249) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.