This study presents the Web-Agile Facial Emotion Recognition and Eye-Tracking System (WAFER-ET), which combines AI-based facial expression recognition and eye-tracking models. Eye tracking is implemented using WebGazer.js and facial expression recognition using a custom lightweight CNNbased model (CLCM). Experimental analysis has revealed that the system provides real-time processing and data streaming. The latency of the system between the Experimental Platform and the Real-Time Results Platform was measured-and low latency was achieved. The integration of facial expression recognition and eye tracking in the WAFER-ET system offers the possibility of use in different fields of application.