This project is a deep learning-based solution for detecting deepfake images in real-time. Using a pretrained MobileNetV2 model, it classifies images as either Real or Fake, trained on the Deepfake-Detector dataset. The final model is deployed via a FastAPI backend to enable easy integration and real-time detection.