This article addresses the growing problem of deep nudes, images generated by artificial intelligence techniques that create manipulated and non-consensual representations of nudity. These images pose a significant challenge to privacy and the ethical use of technology. The study proposes a machine learning-based solution integrated into web applications to automatically detect and censor these images. Our methodology combines machine learning algorithms with a web framework to provide an automated real-time detection system. We discussed the challenges, presented the model’s accuracy results, and outlined the next steps to improve the system. The proposed solution can significantly mitigate the spread of deep nudes, helping to combat the misuse of AI-generated content.
