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WeAct Studio ESP32C3CoreBoard

by WeAct Studio

RISC-V with 400 KB SRAM supports ML inference with growing framework ecosystem

Board Specifications

Clock Speed	160 MHz
SRAM	400 KB
Flash	384 KB
Connectivity	wifi, bluetooth
Supported Frameworks	arduino, espidf
MCU Family	ESP32-C3 (Espressif)
Platform	espressif32

Data synced from PlatformIO registry on 2026-04-01 View source on GitHub ↗

Hardware Guides for ESP32-C3

ESP32-C3 Anomaly Detection with Edge Impulse

Excellent

ESP32-C3 Anomaly Detection with TFLite Micro

Good

ESP32-C3 Fall Detection with Edge Impulse

Excellent

ESP32-C3 Fall Detection with TFLite Micro

Excellent

ESP32-C3 Gesture Recognition with Edge Impulse

Good

ESP32-C3 Gesture Recognition with TFLite Micro

Excellent

Explore More

All ESP32-C3 guides All resources MCU Compatibility Checker

Orchestrate WeAct Studio ESP32C3CoreBoard Edge AI with ForestHub

The WeAct Studio ESP32C3CoreBoard runs inference on-device. ForestHub on your Linux edge gateway ingests its results over MQTT, orchestrates the sense-reason-act loop as a deterministic, auditable graph, and acts on the line.

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