BATTLING DEEP FAKE DETECTION USING DEEP LEARNING
ABSTRACT Deepfake technology, which can create highly realistic yet fake videos, has sparked concern due to its potential to spread misinformation, violate privacy, and facilitate fraud. While this technology holds promise for entertainment and education, it also presents real risks. Our project aims to address these issues by developing an advanced, user-friendly deepfake detection tool. Our project addresses the growing risk of deepfakes by creating a user-friendly tool to help detect manipulated media. We trained AI models on a dataset of real and altered videos, refining the model's accuracy using techniques like transfer learning with VGG16, ResNet50, and EfficientNet. To make detection accessible, we built an intuitive web...