[Showcase] I built a lightweight Python Web UI based on your awesome firmware!

[x1958075990h-pixel]

Hi @ruvnet team and community,

First of all, huge thanks for this incredible project! Your work on the ESP-IDF network stack and extracting raw CSI data is absolutely mind-blowing.

While the original RuView is extremely powerful, I noticed that setting up the Rust toolchain, Docker, and heavy AI neural networks can be a bit intimidating for absolute beginners who just want a quick taste of Wi-Fi RF sensing.

To help more hobbyists experience this magic, I built a lightweight, pure-Python DSP engine and a zero-latency Web UI that directly consumes your pre-compiled .bin firmware.

Here is what it features:

• Mathematically strips away phase drift (Amplitude Demodulation).
• Uses a Top-K algorithm to achieve ultra-high SNR for motion detection.
• Provides a cyberpunk-style "deep-sea sonar" Web UI using Flask + Socket.IO.
• OOBE friendly: Can be deployed in 3 minutes with just two $3 ESP32 boards and ~100 lines of Python code.

Here is the repo (I made sure to credit your firmware extensively in the README):
👉 https://github.com/x1958075990h-pixel/RuView_Radar_Lite

I just wanted to share this with you and the community as a "Lite" alternative for beginners. Thank you again for providing such a rock-solid foundation for the hardware hacking community! Keep up the amazing work! 🍻

[AntwerpDesignsIonity]

Thank you! Testing now

[x1958075990h-pixel]

谢谢！正在测试

如果你需要帮助可以随时联系我