BlinkTrace
Exploring the Future of Deepfake Detection
BlinkTrace is an independent research project focused on understanding how synthetic media can be detected more reliably. Through hands-on experimentation and continuous iteration, we're exploring new approaches to a complex problem.
About the Project
BlinkTrace began as a simple question: How can we better understand and detect synthetic media? What started as curiosity has grown into an ongoing research effort.
Personal Research
BlinkTrace is a personal exploration into the world of synthetic media detection, driven by curiosity and a desire to understand.
Curated Datasets
Detection models are trained on carefully curated datasets sourced from multiple public repositories and proprietary collections to ensure diverse, comprehensive coverage.
Focused Approach
The project centers on detecting manipulated or synthetic video content through careful observation and experimentation.
Multi-Source Training
By combining public benchmarks with proprietary data sources, BlinkTrace aims to build more robust and generalizable detection models.
Hands-On Learning
Every insight comes from direct experimentation and iteration, building understanding through practice rather than theory alone.
Continuous Evolution
This is a work in progress, not a finished product. The direction evolves as new challenges and opportunities emerge.
Open Development
All work, experiments, and progress are documented openly on GitHub. Follow along with the research journey.