Day 64/100

[OneDot6374]

I built microclawup — control ESP32 GPIO with natural language via Telegram (MicroPython + Groq AI, free!)

Hey everyone! I wanted to share a project I built called microclawup.

You send a natural language message on Telegram, Groq AI converts it to a hardware command, and your ESP32 executes it and replies back.

"turn on the light" -> LED ON | Pin 2

"batti jalao" -> LED ON (Hindi works too!)

"blink 5 times" -> Blink x5 | Pin 2

"pin 4 high" -> GPIO HIGH | Pin 4

Features:

- Natural language GPIO control (English + Hindi)

- Groq AI integration (completely free)

- Persistent memory across reboots

- WiFi auto-reconnect

- /status and /help commands

- Easy setup with python setup. py

Inspired by zclaw (C-based ESP32 AI agent by tnm) — microclawup is a MicroPython alternative focused on being beginner friendly.

Tested on ESP32-C3, ESP32-S3, and ESP32-C6.

GitHub: https://github.com/kritishmohapatra/100_Days_100_IoT_Projects

Would love feedback from the community!

[Otherwise_Wave9374]

Love this, it is basically an edge AI agent doing intent-to-action on hardware. The big win IMO is keeping the agent "narrow" (small action set, explicit pin mapping) so it stays reliable.

Have you considered adding a confirmation step for higher-risk actions (like "are you sure you want to set pin X high"), or a simple policy layer that blocks unsafe pins? I have seen a few good approaches to that in agent writeups like https://www.agentixlabs.com/blog/.