Been thinking about building this and want a sanity check before I commit time to it. The problem: Most homes now have a bunch of cheap IoT devices (smart plugs, cameras, TVs, thermostats) that constantly talk to the internet, and basically nobody — including most security tools — knows what’s “normal” for any given device. Existing network monitors (Fing, GlassWire, router apps) show you raw traffic, but they don’t tell you whether a behavior is expected for that specific device , and they’re not very approachable for non-technical people. The idea: A local-first app (Pi or old laptop) that: Passively watches your home network for a few days and builds a “normal behavior” profile for each device, in plain English (“your camera talks to AWS a few times an hour, that’s normal”) Uses a local LLM to flag deviations from that baseline and explain them simply, with suggested next steps — no jargon, no CVE numbers Lets you ask it questions in chat (“why is my internet slow,” “is this normal for my TV”) Eventually, opt-in crowdsourced device fingerprints so the community builds up “what’s normal” for common devices over time Everything local/private, no cloud, no data leaving the network unless you opt into sharing anonymized fingerprints. Questions for you all: Does this solve a real pain point, or is it solving a problem nobody actually has? Is there existing tooling that already does this well that I’m missing? Would non-technical people actually use this, or is the audience just hobbyists who’d rather use Pi-hole + existing tools? Open to “this is dumb, do X instead” feedback too. submitted by /u/Lumpy_Brother_6363
Originally posted by u/Lumpy_Brother_6363 on r/ArtificialInteligence