AI Powered Fake Image Detection System using ResNet and U-Net

Nowadays, it is very easy to edit images and create fake photos using advanced tools and deepfake technology. This

creates problems like spreading false information and security risks. In this project, we developed an AI-based system to detect

fake images, mainly for use on social media. The system uses ResNet to understand important features of an image and U-Net to

find exactly which part of the image is edited. It not only detects whether an image is fake but also shows the modified area

clearly. The model is designed to run on a Raspberry Pi, making it lightweight and suitable for real-time use. This system can be

useful in areas like social media monitoring, document verification, and cybercrime investigation