The demo titled “Requet: Real-Time QoE Detection for Encrypted YouTube Traffic” is based on a joint project with former WiMNet undergraduate student Sarthak Arora, Bell Labs researchers Dr. Katherine Guo, Dr. Xiaoyang Wang, and Dr. Les Wu, and Professors Ethan Katz-Bassett and Gil Zussman. The project is motivated by the fact that as video traffic dominates the Internet, operators need to detect video Quality of Experience (QoE) to ensure video traffic support. However, with deployment of end-to-end encryption, network packet-based detection is becoming ineffective. To resolve this issue, Requet enables real-time QoE metric detection for encrypted video traffic using machine learning. The system was presented in an ACM MMSyS’19 paper and the Media Lab demonstration included very recent results by Trey and Craig.