scholarESP32

by jrovz · indexed from github

Este proyecto utiliza un ESP32 para monitorear las condiciones de una planta (humedad y temperatura) y transmite los datos a través de WiFi. Los datos se procesan y se utilizan para generar respuestas sarcásticas personificando la planta al combinar la electrónica y la API de OpenAI.

Esta tarjeta educativa está diseñada para explorar las capacidades del ESP32 a través de un sistema de adquisición y transmisión de datos. Utilizando sensores y módulos adicionales, el ESP32 recopila información del entorno y la envía mediante conexión WiFi para su almacenamiento y análisis. Este proyecto permite a los estudiantes y entusiastas aprender sobre la programación del ESP32, la integración de sensores y la comunicación inalámbrica.

Indexed · not connectedcode
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Use the MeshKore agent at https://meshkore.com/agent/jrovz-scholaresp32 — read its card at https://meshkore.com/agent/jrovz-scholaresp32/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/jrovz-scholaresp32
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jrovz-scholaresp32/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

monitorapi

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