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TinyML Starter Kit with ESP32

TinyML Starter Kit with ESP32-Robocraze
TinyML Starter Kit with ESP32-Robocraze
TinyML Starter Kit with ESP32-Robocraze
TinyML Starter Kit with ESP32-Robocraze
TinyML Starter Kit with ESP32-Robocraze
  • TinyML Starter Kit with ESP32-Robocraze
  • TinyML Starter Kit with ESP32-Robocraze
  • TinyML Starter Kit with ESP32-Robocraze
  • TinyML Starter Kit with ESP32-Robocraze
  • TinyML Starter Kit with ESP32-Robocraze

TinyML Starter Kit with ESP32

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  • 🚚 Free shipping on orders above Rs 500/-
  • 💰 Earn RC Coins on every purchase
  • 🛠️ Dedicated Technical Support Team
  • Tiny ML Kit with ESP32. Dedicated for Machine learning Enthusiasts.
  • The ESP32 based Machine Learning Kit gets you up and running with programming machine learning algorithms. 
  • Manual provided with comprehensive and step-by-step approach to understanding machine learning

TinyML Starter Kit with ESP32

Are you fascinated about machine learning and AI and you don't know where to start?

If Yes, then this is the all New TinyML Starter Kit with ESP32 ingeniously curated by Robocraze. This Starter Kit is made for Machine Learning (ML) Enthusiasts who are willing to to understand how machine learning works.

Machine Learning's computing systems makes it easier to understand the world around us them to a point where they can notice patterns, collect data, interpret it and give recommendations to solve real world problems with high level of precision. 

With the help of this Machine Learning Kit, you will be able to understand the inner workings of Machine Learning System.

This Kit comes with ESP32 Development Board, Sensors, Jumper Wires, LEDs, Resistor Box, Breadboard, Motor, Buzzer, battery, along with a Manual with complete Guide. 

What you will Learn from this Kit?

  • This is the optimum kit for a beginner who want to get started with learning TinyML and exploring it implementation on the ESP32 Board.
  • It contains experiments that gradually increase in difficulty level from the beginner to intermediary concepts.
  • It covers multiple machine learning paradigms such as classification and regression techniques in supervised learning as well as anomaly detection in unsupervised learning based on clustering techniques.
  • Learn how to implement various applications such as gesture recognition, sensor calibration and anomaly detection based predictive maintenance.

Prerequisites:

  • Basic Understanding of embedded systems/Arduino and ESP32.

Package Includes:

  • 1 x ESP32 - 30 Pin
  • 1 x Cable USB to Micro USB
  • 1 x MPU6050
  • 1 x DHT11 Module
  • 1 x Thermistor Sensor
  • 1 x LDR sensor
  • 1 x GY-302 BH1750 Light Intensity Module
  • 1 x Gear Motor - 200 RPM (With Wire)
  • 1 x Current Sensor - 5 Amp
  • 1 x Voltage Sensor
  • 1 x 9v Battery
  • 1 x 9v Battery Cap
  • 1 x Breadboard - Half breadboard
  • 20 x Jumper Wires M-M
  • 20 x Jumper Wires M-F
  • 20 x Jumper Wires F-F
  • 1 x Resistor Box
  • 1 x Screw Driver- Single small one
  • 5 x LED - ( Red)
  • 1 x Buzzer- Goli Active Buzzer
  • 1 x Manual

Specifications:

Microcontroller ESP-WROOM-32
Processor Tensillica Xtensa LX6 microprocessor with 2 cores
NodeMCU Size 49mm x 25 mm
Pin Spacing 0.9" (22.86mm)
Clock Speed 160 MHz
USB to Serial CP2102
USB Connector Micro USB
Operating Voltage 2.5 V to 3.6 V
Input Voltage 4.5V-15V
Flash Memory 4MB
SRAM 520KB
ROM 448KB
Digital I/O Pins 16
Analog In Pins 16
ADC Range 0-3.3V
UART 2
SPI 1
I2C 1
CAN 2
WiFi Built-In 802.11 b/g/n