Note: This is the LILYGO T-Deck Pro Meshtastic (915MHz with 4G A7682E) — a powerful ESP32-S3 development kit featuring a 3.1" E-Paper touch screen, QWERTY keyboard, SX1262 LoRa, 4G connectivity, GPS, and AI IMU. Preloaded with Meshtastic firmware and ideal for advanced off-grid communication and IoT projects. The LILYGO T-Deck Pro Meshtastic is a feature-rich portable development platform designed for Meshtastic and advanced IoT applications. It combines a large 3.1" E-Paper touch display, full QWERTY keyboard, long-range LoRa, optional 4G connectivity, GPS, and an AI-enhanced IMU in a compact, keyboard-equipped form factor — perfect for serious Meshtastic users, developers, and makers. KEY FEATURES 3.1" E-Paper Touch Display: Sunlight-readable, ultra-low power E-Ink screen with touch support. Full QWERTY Keyboard: Built-in physical keyboard for fast text input and commands. ESP32-S3 Processor: Powerful dual-core MCU with Wi-Fi and Bluetooth 5.0. SX1262 LoRa (915MHz): Long-range, low-power mesh communication. 4G Connectivity: A7682E module for cellular data and backup connectivity. GPS + AI IMU: Built-in GPS positioning and Bosch BHI260AP AI smart sensor with IMU. Rich Peripherals: TF Card slot, Microphone, Speaker, and RTC. Preloaded Meshtastic Firmware: Ready to use for instant Meshtastic networking. SPECIFICATIONS Product Name LILYGO T-Deck Pro Meshtastic (915MHz + 4G) MCU ESP32-S3 Display 3.1" E-Paper Touch Keyboard Full QWERTY LoRa SX1262 (915MHz) 4G A7682E Module GNSS Built-in GPS AI Sensor Bosch BHI260AP (AI IMU) Memory 16MB Flash + 8MB PSRAM Storage TF Card Slot Wireless Wi-Fi + Bluetooth 5.0 + LoRa + 4G Audio Microphone + Speaker Compatibility Meshtastic (pre-installed), Arduino, ESP-IDF, MicroPython WHAT'S INCLUDED 1 × LILYGO T-Deck Pro Meshtastic Device (915MHz + 4G, preloaded firmware) NOTES One of the most advanced portable Meshtastic devices available, with keyboard, E-Paper, 4G, and GPS. Excellent for serious off-grid communication, field operations, and advanced Meshtastic networks. Full development support via Arduino IDE, ESP-IDF, and MicroPython.
