IFChatbot: Convolutional Neural Network based chatbot for Image Forgery Detection and Localization
Neelanjan Manna, Sahil Kumar, Rohan Kakar, Sankalp Nayak, Jitendra Kumar Rout, Bunil Kumar Balabantaray · 2022
With the quick adoption of the internet, social media, and the widespread availability of unsophisticated image manipulation tools, the adverse consequences of image forgery are taking a toll on society. Visual inspection is often ineffective in determining a forgery in an image, making it potentially perilous for all the illicit means of its application. To overcome this problem, we analyze the effectiveness of a deep convolutional neural network for the detection and localization of the area of manipulation in forged images, bearing forgeries of simple and complex nature. Further along, we interface the trained model with a web application for users to interact with the model in a simple and effective manner. Finally, we also developed a chatbot to further ease the interaction process with the model and effectively tackle the problem of fake news forwards on popular internet messaging platforms such as WhatsApp.