An Architecture Model for Tracking User Interaction in a Web Environment

This paper proposes an architecture model for tracking user interactions in a Web environment. The model utilizes Node.js as the server-side technology, integrates Face-API.js for facial recognition, and streams facial expressions and landmarks directly through to a database and Kafka queue for further use. This architecture aims to enhance user experience and provide valuable insights into user behavior for Web applications.