AI-Based Intelligent Fire Fighting Robot with Vision Navigation

Below is a complete, structured end-to-end documentation for your: 🤖 AI-Based Intelligent Fire Fighting Robot (ESP32 + Vision + IoT + n8n + Telegram Alerts) This system is an Agentic IoT fire-fighting robot built using: ESP32 n8n Telegram Google Sheets ThingSpeak

Here is your complete project documentation converted into a single PHP webpage file format. You can save it as: 👉 fire_fighting_robot.php

🤖 AI-Based Intelligent Fire Fighting Robot

ESP32 + AI Vision + IoT + n8n Automation + Telegram Alerts

🔥 Project Overview

This project is an AI-powered autonomous fire-fighting robot using ESP32, sensors, cloud IoT platforms, and automation tools like n8n. It detects fire, takes action, and sends real-time alerts via Telegram and cloud dashboards.

🔩 Components List

• ESP32 Dev Board
• Flame Sensor
• MQ-2 Gas Sensor
• DHT11 Temperature Sensor
• Ultrasonic Sensor
• L298N Motor Driver
• Water Pump + Relay
• Chassis + Wheels

🧠 System Architecture

Sensors → ESP32 → WiFi → n8n Server
                           ↓
     Telegram Alerts | Google Sheets | ThingSpeak Dashboard
    

🔁 System Flow

Start
 ↓
Read Sensors
 ↓
Fire Detected?
 ↓ YES → Activate Pump + Buzzer
 ↓
Send Data to n8n
 ↓
AI Analysis + Alerts + Cloud Logging
    

💻 ESP32 Source Code

#include <WiFi.h>
#include <HTTPClient.h>
#include "DHT.h"

#define FLAME 34
#define MQ2 35
#define PUMP 32
#define BUZZER 13

void setup() {
    Serial.begin(115200);
    pinMode(FLAME, INPUT);
    pinMode(MQ2, INPUT);
    pinMode(PUMP, OUTPUT);
    pinMode(BUZZER, OUTPUT);
}

void loop() {
    int flame = analogRead(FLAME);
    int gas = analogRead(MQ2);

    if(flame < 2000 || gas > 400) {
        digitalWrite(PUMP, HIGH);
        digitalWrite(BUZZER, HIGH);
    } else {
        digitalWrite(PUMP, LOW);
        digitalWrite(BUZZER, LOW);
    }
    delay(1000);
}
    

⚙️ n8n Workflow Logic

Webhook Trigger → AI Risk Analysis → Telegram Alert → Google Sheets → ThingSpeak Update
    

📱 Telegram Alerts

Real-time fire alerts are sent using Telegram Bot API integrated with n8n automation.

📊 Google Sheets Logging

Sensor data (temperature, gas, flame, risk level) is stored in cloud spreadsheets for analysis.

📡 ThingSpeak Dashboard

Live IoT visualization of sensor values using cloud dashboards.

🧠 AI Logic

IF temperature > 50 OR gas high:
    Risk = HIGH
ELSE:
    Risk = LOW
    

🚀 Future Enhancements

• AI Vision using ESP32-CAM
• YOLO Fire Detection Model
• Autonomous Navigation (SLAM)
• Cloud AI Decision Making

🚀 How to Run Save file as: fire_fighting_robot.php Run using: XAMPP / WAMP / Laragon Place file in htdocs folder Open browser: http://localhost/fire_fighting_robot.php If you want next upgrades, I can also build: 🔥 Admin Dashboard (PHP + MySQL) 📊 Real-time IoT live graph dashboard 🤖 AI chat assistant inside webpage 📱 Mobile responsive UI (Bootstrap version) 🌐 Full final year project website Just tell me 👍