GazeFilter Project is dedicated to developing cutting-edge web-based eye-tracking technology. Its main focus is to make eye-tracking accessible and easy to integrate into web applications, providing developers and researchers with access to user gaze behavior.

GazeFilter application provides powerful web-based eye-tracking with these core features:

• Local Processing: Video stream is processed on-device, ensuring privacy and lowest latency for real-time tracking.
• Resource Efficiency: Utilizes classical machine learning and computer vision algorithms for optimal performance, avoiding heavy deep learning models.
• Web Embeddable: Easily integrate eye-tracking into your web applications by running it in a separate browser context.

The following projects rely on this eye-tracking solution:

• anima.help — neuroscientific mental wellness tracker,
• eyepass.tech — e-learning analytics platform.