AI Smart Smart-City Monitoring System with IoT and AI Analytic

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AI Smart City Monitoring System Using ESP32 + IoT + AI Analytics + n8n Automation + Telegram Voice Alerts
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AI Smart City Monitoring System with IoT and AI Analytics

Project Overview

This project is an advanced IoT based Smart City Monitoring System using ESP32, sensors, AI analytics, n8n automation, Telegram voice alerts, Google Sheets and ThingSpeak cloud dashboard.

Features

  • Real time city environment monitoring
  • AI based abnormal condition detection
  • ESP32 IoT sensor data collection
  • n8n workflow automation
  • Telegram notification alerts
  • Voice warning system
  • Cloud dashboard monitoring
  • Power consumption prediction

System Architecture


Smart City Sensors

        |
        |
       ESP32

        |
        |
   WiFi Communication

        |
 -------------------------
 |          |            |
ThingSpeak  n8n       Google Sheets

             |
             |
          AI Agent

             |
       Telegram Voice Alert

Hardware Components

Component Purpose
ESP32 Main IoT Controller
DHT11 / DHT22 Temperature and Humidity
MQ135 Air Quality Monitoring
Sound Sensor Noise Detection
LDR Street Light Monitoring
ACS712 Power Monitoring
IR Sensor Traffic Detection

Circuit Connection

Device ESP32 Pin
DHT11 GPIO 4
MQ135 GPIO 34
Noise Sensor GPIO 35
LDR GPIO 32
ACS712 GPIO 33
IR Sensor GPIO 26

Working Principle

  1. Sensors collect smart city data.
  2. ESP32 processes sensor readings.
  3. ESP32 sends data through WiFi.
  4. ThingSpeak stores cloud data.
  5. n8n receives sensor information.
  6. AI Agent analyses conditions.
  7. Telegram sends alerts.

Flowchart



START

 |

Initialize ESP32

 |

Connect WiFi

 |

Read Sensors

 |

Upload Cloud Data

 |

AI Analysis

 |

Abnormal Condition?

       |
      YES

       |

Telegram Voice Alert

       |

Google Sheet Log


       |
      END

ESP32 Source Code


#include "DHT.h"
#include 


#define DHTPIN 4
#define DHTTYPE DHT11


DHT dht(DHTPIN,DHTTYPE);



void setup()
{

Serial.begin(115200);

dht.begin();

}


void loop()
{

float temp=dht.readTemperature();

float hum=dht.readHumidity();


int air=
analogRead(34);


Serial.println(temp);
Serial.println(hum);
Serial.println(air);


delay(5000);

}

ThingSpeak Setup

Create ThingSpeak channel. Fields:
Field 1 - Temperature
Field 2 - Humidity
Field 3 - Air Quality
Field 4 - Noise
Field 5 - Power

n8n Automation Workflow



ESP32

 |

Webhook Node

 |

Function Node

 |

AI Agent

 |

Telegram Node

 |

Google Sheets

Telegram Bot Setup

  1. Open Telegram
  2. Search BotFather
  3. Create new bot
  4. Copy Bot Token
  5. Add token in n8n Telegram Node

AI Power Prediction Logic



Input:

Temperature

Traffic

Previous Power Usage

Time


Prediction:

Future Energy Load


If power high:

Generate Warning

Voice Notification Automation



AI Alert

 |

Text Generation

 |

Text To Speech

 |

Audio File

 |

Telegram Voice Message

Future Enhancements

  • AI CCTV monitoring
  • Smart traffic control
  • Automatic street lights
  • Digital twin city model
  • 5G IoT deployment
  • Edge AI processing

Applications

  • Smart Cities
  • Traffic Monitoring
  • Pollution Control
  • Industrial Monitoring
  • Campus Automation
  • Public Safety

Conclusion

This AI Smart City project combines ESP32, IoT sensors, AI analytics, n8n automation, Telegram voice alerts and cloud dashboards to build a modern intelligent city monitoring system.

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