Development Board
Deneyap Kart G
by T3 Foundation
RISC-V with 320 KB SRAM supports ML inference with growing framework ecosystem
Board Specifications
| Clock Speed | 160 MHz |
| SRAM | 320 KB |
| Flash | 4 MB |
| Connectivity | wifi, bluetooth |
| Supported Frameworks | arduino, espidf |
| MCU Family | ESP32-C3 (Espressif) |
| Platform | espressif32 |
Data synced from PlatformIO registry
View source on GitHub ↗
Hardware Guides for ESP32-C3
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ESP32-C3 Fall Detection with TFLite Micro
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ESP32-C3 Gesture Recognition with Edge Impulse
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ESP32-C3 Gesture Recognition with TFLite Micro
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Explore More
Orchestrate Deneyap Kart G Edge AI with ForestHub
The Deneyap Kart G 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.
Get Started Free