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ESP32-S3-WROOM-1 Development Board (N8R8) – WiFi + BLE AI IoT Board with 8MB Flash & 8MB PSRAM

ESP32-S3-WROOM-1 Development Board (N8R8) – WiFi + BLE AI IoT Board with 8MB Flash & 8MB PSRAM

Rs. 881.02
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Build next-generation IoT and AI-enabled applications with the ESP32-S3-WROOM-1 Development Board (N8R8), a powerful and feature-rich microcontroller platform from Espressif. Designed for edge AI, machine learning, and high-performance IoT applications, this board combines WiFi + Bluetooth Low Energy (BLE) connectivity with enhanced processing capabilities.

The ESP32-S3 features a dual-core Xtensa processor optimized for vector instructions, making it ideal for tasks like voice recognition, image processing, and smart automation. The N8R8 variant includes 8MB Flash and 8MB PSRAM, providing ample memory for complex applications and data handling.

With native USB support, advanced security features, and extensive GPIO interfaces, this board is perfect for developers looking to create scalable, high-performance embedded systems.


πŸš€ Key Features

  • Powered by ESP32-S3 dual-core processor
  • Built-in WiFi (2.4GHz) + Bluetooth LE (BLE 5.0)
  • Memory: 8MB Flash + 8MB PSRAM (N8R8 variant)
  • Optimized for AI & machine learning applications
  • Native USB OTG support for programming and communication
  • Advanced security features (secure boot, flash encryption)
  • Rich peripheral interfaces: UART, SPI, I2C, PWM, ADC, DAC
  • Low power consumption with multiple sleep modes

πŸ“¦ Package Includes

  • 1 Γ— ESP32-S3-WROOM-1 Development Board (N8R8)

πŸ“Š Technical Specifications

  • Microcontroller: ESP32-S3
  • CPU: Dual-core Xtensa LX7
  • Clock Speed: Up to 240 MHz
  • Flash: 8MB
  • PSRAM: 8MB
  • Connectivity: WiFi + BLE 5.0
  • USB: Native USB OTG
  • GPIO: Multiple programmable pins
  • Operating Voltage: 3.3V

πŸ’‘ Recommended Applications

  • AI and machine learning at the edge
  • Smart home and IoT systems
  • Voice-controlled devices
  • Image processing and smart cameras
  • Industrial automation
  • Wearable electronics
  • Wireless data logging and monitoring


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