AI Smart Interactive Robot Teacher for Kids

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AI Smart Interactive Robot Teacher for Kids AI + ESP32 + IoT + n8n Automation + Telegram Voice Alerts + Google Sheets + ThingSpeak Cloud Dashboard + Agentic AI
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Project Overview

The AI Smart Interactive Robot Teacher for Kids is an advanced IoT educational robot. It uses ESP32, Artificial Intelligence, n8n automation, Telegram voice alerts, Google Sheets and ThingSpeak cloud monitoring.

  • AI Teaching Assistant
  • Voice Interaction
  • IoT Cloud Monitoring
  • Parent Notification System
  • Learning Analytics

System Architecture


Child
 |
Voice Command
 |
AI Robot Teacher
 |
ESP32 Controller
 |
WiFi
 |
n8n Automation
 |
-------------------------
|          |             |
Telegram  Google       ThingSpeak
Bot        Sheets       Cloud

Components List

Component Purpose
ESP32 Main Controller
ESP32 CAM AI Vision
INMP441 Mic Voice Input
Speaker Voice Output
OLED Display Information Display
Ultrasonic Sensor Obstacle Detection
Servo Motor Robot Movement

Circuit Connections


ESP32

GPIO4  -> OLED SDA
GPIO5  -> OLED SCL

GPIO18 -> Servo Motor

GPIO25 -> Speaker

GPIO34 -> Microphone

GPIO26 -> Ultrasonic Trigger
GPIO27 -> Ultrasonic Echo

GPIO32 -> Temperature Sensor

Working Flow


START

 |
Power ON

 |
Connect WiFi

 |
Initialize Sensors

 |
Wait For Child Voice

 |
AI Processing

 |
Generate Answer

 |
Speaker Output

 |
Send Data To Cloud

 |
n8n Automation

 |
Telegram Alert

END

n8n Automation Workflow


ESP32

 |

Webhook Trigger

 |

Function Node

 |

Google Sheets Storage

 |

Telegram Voice Alert

 |

ThingSpeak Update

Telegram Bot Setup

1. Open Telegram
2. Search BotFather
3. Create New Bot
4. Copy API Token
5. Add Token in n8n Telegram Node

Google Sheets Database

Date Topic Question Score Battery
25-06-2026 Math Addition 10/10 85%

ThingSpeak Dashboard


Channel Fields:

Field 1 - Learning Activity

Field 2 - Battery Level

Field 3 - Temperature

Field 4 - Robot Usage

ESP32 Source Code Example


#include WiFi.h
#include HTTPClient.h


void setup()
{

Serial.begin(115200);

WiFi.begin(
"YOUR_WIFI",
"PASSWORD"
);

}


void loop()
{

String data =
"{topic:Math,battery:80}";


HTTPClient http;


http.begin(
"https://n8n-server/webhook/robot"
);


http.POST(data);


http.end();


delay(10000);

}

AI Power Prediction Logic


Power = Voltage x Current

Energy = Power x Time


AI predicts:

Battery Remaining Time

based on:

Battery Level
Motor Usage
Learning Duration

Future Enhancements

  • Face Recognition
  • Emotion Detection
  • AI Vision Camera
  • Multi Language Teaching
  • Cloud AI Model
  • Smart Classroom Mode

Deployment Steps

  1. Assemble robot hardware
  2. Connect ESP32
  3. Upload firmware
  4. Create n8n workflow
  5. Configure Telegram Bot
  6. Create Google Sheet
  7. Connect ThingSpeak
  8. Test AI interaction

🚀 Complete AI + IoT Educational Robot System Ready

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