DL-Based Solution for Detection of Face-Swap Deep Fake Photos
Shashwat Srivastava
Developed and optimized deep learning models (MesoNet, Swin Transformer, CNNs) to detect face-swap deep fake images, achieving high accuracy across multiple publicly available datasets.
Integrated MLOps pipeline with tools like Weights & Biases for experiment tracking, Hydra for configuration management, and DVC for dataset versioning to ensure smooth model development and deployment.
Implemented containerization with Docker and CI/CD workflows using GitHub Actions, enabling scalable model deployment and automated testing for reliable real-time predictions in production.
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Posted Dec 6, 2024
Developed deep learning models to detect face-swap deep fake images with MLOps integration.
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