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Source channel @githubtrending · Post #15535 · Mar 3

#shell ESP-CSI uses Wi-Fi Channel State Information (CSI) on all ESP32 chips to sense breathing, chewing, walking, or other movements without contact or extra hardware. You get rich data like signal phase and amplitude for smart monitoring, activity detection, positioning, and AI apps, with easy OTA upgrades, BLE help, and examples for quick starts like radar or cloud uploads—saving costs while boosting your IoT projects' accuracy and reliability. https://github.com/espressif/esp-csi

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@githubtrending · Post #15348 · 12/20/2025, 12:00 PM

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#go#gemma3#go#gpt_oss#granite4#llama#llama3#llm#on_device_ai#phi3#qwen3#qwen3vl#sdk#stable_diffusion#vlm NexaSDK runs AI models locally on CPUs, GPUs, and NPUs with a single command, supports GGUF/MLX/.nexa formats, and offers NPU-first Android and macOS support for fast, multimodal (text, image, audio) inference, plus an OpenAI‑compatible API for easy integration. This gives you low-latency, private on-device AI across laptops, phones, and embedded systems, reduces cloud costs and data exposure, and lets you deploy and test new models immediately on target hardware for faster development and better user experience. https://github.com/NexaAI/nexa-sdk

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#go #gemma3 #gpt_oss #granite4 #llama #llama3 #llm #on_device_ai #phi3 #qwen3 #qwen3vl #sdk #stable_diffusion #vlm