[GitHub Trending] ruvnet/RuView
6.1 relevance
Score Breakdown
technical depth 8
novelty 9
actionability 2
community 6
strategic 5
personal 4
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WiFi-based spatial intelligence is novel and deep but requires specialized hardware, low actionability.
Summary
RuView transforms WiFi CSI from cheap ESP32 sensors into a spatial intelligence system detecting presence, breathing, heart rate, and falls through walls using a 8KB pretrained model (82.3% accuracy) running entirely on edge with spiking neural networks that adapt in 30 seconds. It integrates with Home Assistant, Apple Home, and Google Home via Matter/MQTT, shipping 21 inferred states per node (e.g., sleep stage, inactivity anomaly) with Ed25519 cryptographic attestation and no cloud dependency.
Author
ruvnet