Deepfake technology uses Artificial Intelligence to create realistic fake videos by altering facial features, which can lead to serious issues like misinformation and fraud. This project presents a Deepfake Detection System that identifies whether a video is real or fake using deep learning techniques. The system takes a video as input, extracts frames, and performs preprocessing and face detection. The processed images are then analyzed using a Convolutional Neural Network (CNN) to detect inconsistencies. Based on the analysis, the system provides a prediction along with a probability score.