We are addressing fake image detection in news media. With the rise of misinformation, there has been an increasing challenge in identifying manipulated or fake images used in news outlets and social media platforms to mislead the public. These fake images can contribute to the spread of false information, and cause societal harm.

The goal is to develop a machine learning model that can automatically detect these fake images with a high degree of accuracy. This model is trained on labeled data (real vs. fake) to learn the subtle differences between real and tampered images, using features like unnatural edges, error level analysis, examining the spatial relationship of pixel intensities, etc...