Video Face Manipulation Detection Through Ensemble of CNNs

• Studied & implemented a ML-based system for detecting manipulated videos of faces using an ensemble of CNNs

• Trained & fine-tuned CNN models on dataset of manipulated & non-manipulated video frames to improve accuracy

• Conducted extensive experiments to evaluate the effectiveness of different CNN architectures and hyperparameters

• Demonstrated the potential of the system to detect extensive face manipulation techniques, like deepfake & superficial