edge AI

CrankGPT is a fully offline voice assistant built on a hand-crank-powered Raspberry Pi setup. The page explains the hardware stack, local speech recognition, on-device LLMs, text-to-speech, power smoothing, and latency measurements for running the system without cloud dependency.

An open 45M-parameter agentic LLM for tiny devices, built for tool calling, device use, and structured extraction. It ships as a 14 MB binary and is positioned for phones, wearables, smart home devices, robots, and other low-RAM hardware.

A small open-source benchmark repo comparing edge AI boards by real or vendor-reported YOLO FPS, board price, and FPS-per-dollar. It includes a machine-readable CSV, source links, contribution guidelines, and notes on how the figures were gathered.

Open-source Raspberry Pi bird deterrent that uses an AI model to detect birds near a pool and trigger a sprinkler automatically.

A curated GitHub list and benchmark leaderboard for ultra-lightweight, zero-dependency AI engines in C/C++/Rust/Assembly, covering local LLMs, vector search, memory, GEMM, and agent tooling.