An AI enabled board in the shape of the classic Nano board, with all the sensors to start building your next project right away.
 
Overview
The Arduino Nano 33 BLE Sense Rev2 is Arduino’s 3.3V AI enabled board in the smallest available form factor with a set of sensors that will allow you without any external hardware to start programming your next project, right away.
With the Arduino Nano 33 BLE Sense Rev2, you can:
Build wearable devices that using AI can recognize movements.
Build a room temperature monitoring device that can suggest or modify changes in the thermostat.
Build a gesture or voice recognition device using the microphone or the gesture sensor together with the AI capabilities of the board.
The main feature of this board, besides the complete selection of sensors, is the possibility of running Edge Computing applications (AI) on it using TinyML. Learn how to use the Tensor Flow Lite library following this instructions (Resouse #1) or learn how to train your board using Edge Impulse (Resouse #2). 
 
Tech specs
Microcontroller: nRF52840 
Operating Voltage: 3.3V
Input Voltage (limit): 21V
DC Current per I/O Pin: 15 mA
Clock Speed: 64MHz
CPU Flash Memory: 1MB (nRF52840)
SRAM: 256KB (nRF52840)
EEPROM: none
Digital Input / Output Pins: 14
PWM Pins : all digital pins
UART: 1
SPI: 1
I2C: 1
Analog Input Pins: 8 (ADC 12 bit 200 k samples)
Analog Output Pins: Only through PWM (no DAC)
External Interrupts: all digital pins
LED_BUILTIN: 13
USB: Native in the nRF52840 Processor
IMU: BMI270  and BMM150 
Microphone: MP34DT06JTR 
Gesture, light, proximity, color: APDS9960 
Barometric pressure: LPS22HB 
Temperature, humidity: HS3003 
 
Resources: 
1. Get Started With Machine Learning on Arduino
2. Edge Impulse with the Nano 33 BLE Sense
3.  nRF52840 Datasheet
4.  Arduino Nano 33 BLE Sense Rev2  Datasheet