This project was sparked by my fascination with AI-generated portraits and the growing difficulty in telling real faces from computer-created ones. Drawing on the resources of ThisPersonDoesNotExist.com and ThisPersonDoesExist.com, I developed a cross-platform application that randomly presents either a real or an AI-generated person. Each session challenges users to guess whether the face on the screen belongs to someone who truly exists or if it was conjured by generative technology. My goal was to craft a simple yet addictive user experience that highlights the near-indistinguishable quality of synthetic images and provokes reflection on how AI could reshape our sense of visual authenticity.

To enhance engagement and accessibility, I introduced a “Tinder-like” swipe mechanic along with button-based controls, ensuring that users of varying abilities could participate without barriers. Beneath the surface, the application coordinates real-time fetching of images from the two sources, assigns them to either a “real” or “AI-generated” category, and maintains scoring logic to provide instant feedback. With each swipe or button press, the interface reveals whether the user’s intuition was correct, steadily building a suspenseful, gamified journey. Throughout development, I paid special attention to performance and user flows—optimizing image loading times, streamlining animations, and integrating a lightweight state management system to keep everything running smoothly.

Beyond its playful outward appearance, the project underscores important questions about the blurred lines between genuine and fabricated content. By blending accessibility, interactive design, and a spirited challenge, I aimed to offer users a tangible demonstration of AI’s evolving capabilities, ultimately prompting them to consider the deeper implications for trust and representation in a digital world.