
During March 2026, Ziqi Yang developed a native macOS WiFi sensing integration for the RuView repository, focusing on real-time collection of RSSI and noise metrics. Leveraging Swift and Python, Ziqi built a CoreWLAN-based adapter and a Swift utility to poll WiFi metrics, which was then integrated into the existing Python-driven sensing pipeline. This work enhanced RuView’s network analytics by improving the quality and timeliness of collected data, laying the foundation for real-time metrics streaming and proactive network optimization. The project demonstrated depth in full stack development and network programming, with an emphasis on robust feature delivery and pipeline stability.

March 2026 monthly summary for RuView: Delivered native macOS WiFi sensing integration using CoreWLAN to collect real-time RSSI and noise metrics, complemented by a Swift utility for polling WiFi metrics and a Python-based collector, integrated into the existing sensing pipeline to enhance data quality and timeliness for network analytics. This work strengthens RuView’s sensing capabilities and lays groundwork for real-time metrics streaming and proactive network optimization.
March 2026 monthly summary for RuView: Delivered native macOS WiFi sensing integration using CoreWLAN to collect real-time RSSI and noise metrics, complemented by a Swift utility for polling WiFi metrics and a Python-based collector, integrated into the existing sensing pipeline to enhance data quality and timeliness for network analytics. This work strengthens RuView’s sensing capabilities and lays groundwork for real-time metrics streaming and proactive network optimization.
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