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PixelGuard

WebApp for Image Tampering Detection using ELA and CNN

Project Information

This project aims to devise a method of detecting tampered images using modern AI based technologies namely Error Level Analysis(ELA) and Convolutional Neural Networks(CNN) and protect against fake images and the impact that they may have on unsuspecting users.

Methods

  1. Error Level Analysis (ELA)
  2. Convolutional Neural Networks (CNN)

Contributors

Made with <3 by Vardhaman Munot,Aniket Dubey,Jash Shah, Prince Tibadia