resist15 / FotoForensics

Image Tampering Detection WebApp

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FotoForensics

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.

Pretrained Model: https://drive.google.com/file/d/1h9qGRLO-tPhwWSLoVju-d8DAzbJU-jze/view?usp=drive_link

Methods

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

Contributors

Made with <3 by Sourav Jagtap, Girish Bansode, Anant Borse, Suhas Khilari

Execution

Need Python 3.9

pip install -r requirements.txt

About

Image Tampering Detection WebApp


Languages

Language:JavaScript 79.4%Language:HTML 7.6%Language:CSS 6.2%Language:Python 3.9%Language:SCSS 3.0%