How to Build an ESP32 Classroom Noise Monitoring Display for Student and Final Year Projects in Lahore, Pakistan

How to Use ESP32 Classroom Noise Monitoring Display in Modern Educational Environments

We present a complete and practical guide on how to build an ESP32 Classroom Noise Monitoring Display, a powerful IoT-based solution designed for students projects, final year projects, and engineering projects in Lahore, Pakistan. This system measures real-time classroom noise levels using sound sensors, calculates approximate decibel values, and displays them visually on an LED board. As a result, it promotes school discipline, improves learning environments, and serves as one of the best engineering projects for academic and industrial learning.

With increasing demand for automation, IoT, and smart classroom solutions, this project stands out among arduino projects, esp32 projects, and DIY projects available near me in Hall Road electronics market, Lahore.

How the ESP32 Noise Monitoring System Works

The system continuously captures ambient sound using a calibrated sound sensor module. The ESP32 processes the analog signal, converts it into a decibel-like score, and updates the value on an LED display board in real time. When noise exceeds predefined limits, visual warnings are triggered, encouraging discipline without verbal intervention.

This design is ideal for school projects, science projects, and university projects, especially in electronics engineering, electrical projects, and industrial automation programs across Pakistan.

System Architecture of ESP32 Classroom Noise Monitoring Display

The architecture consists of four primary layers:

• • Input Layer: Sound sensor (KY-038 / MAX4466)

  • Processing Layer: ESP32 microcontroller

  • Display Layer: LEDs / LCD

  • Communication Layer: Wi-Fi (optional for IoT dashboards)

The modular design allows easy scalability for firebase projects, blynk iot projects, and thingspeak iot integration.

ESP32 Classroom Noise Monitoring Display with 16×2 LCD – Arduino Code

Hardware Used

• • ESP32 Dev Module

  • Sound Sensor (KY-038 / MAX4466)

  • 16×2 LCD with I2C Module (Address: 0x27)

  • LEDs (Green, Yellow, Red – optional)

Pin Connections Summary

• • Sound Sensor OUT → GPIO 34

  • LCD SDA → GPIO 21

  • LCD SCL → GPIO 22

  • Green LED → GPIO 27

  • Yellow LED → GPIO 26

  • Red LED → GPIO 25
    

    

     

Arduino Code

/*************************************************
 ESP32 Classroom Noise Monitoring Display
 With 16x2 I2C LCD
**************************************************/

#include <Wire.h>
#include <LiquidCrystal_I2C.h>

/* -------- LCD Configuration -------- */
LiquidCrystal_I2C lcd(0x27, 16, 2);

/* -------- Pin Definitions -------- */
#define SOUND_SENSOR_PIN 34
#define GREEN_LED 27
#define YELLOW_LED 26
#define RED_LED 25

/* -------- Noise Thresholds -------- */
int LOW_NOISE = 40;
int MEDIUM_NOISE = 65;
int HIGH_NOISE = 85;

void setup() {
  Serial.begin(115200);

  pinMode(GREEN_LED, OUTPUT);
  pinMode(YELLOW_LED, OUTPUT);
  pinMode(RED_LED, OUTPUT);

  lcd.init();
  lcd.backlight();

  lcd.setCursor(0, 0);
  lcd.print("Noise Monitor");
  lcd.setCursor(0, 1);
  lcd.print("Initializing");
  delay(2000);
  lcd.clear();

  Serial.println("ESP32 Noise Monitoring System Started");
}

void loop() {
  int soundValue = analogRead(SOUND_SENSOR_PIN);

  // Convert analog value to approximate dB
  int noiseLevel = map(soundValue, 0, 4095, 30, 100);

  lcd.setCursor(0, 0);
  lcd.print("Noise: ");
  lcd.print(noiseLevel);
  lcd.print(" dB   ");

  Serial.print("Noise Level: ");
  Serial.print(noiseLevel);
  Serial.println(" dB");

  /* -------- Noise Status Logic -------- */
  if (noiseLevel < LOW_NOISE) {
    digitalWrite(GREEN_LED, HIGH);
    digitalWrite(YELLOW_LED, LOW);
    digitalWrite(RED_LED, LOW);

    lcd.setCursor(0, 1);
    lcd.print("Status: Quiet  ");
  }
  else if (noiseLevel >= LOW_NOISE && noiseLevel < MEDIUM_NOISE) {
    digitalWrite(GREEN_LED, LOW);
    digitalWrite(YELLOW_LED, HIGH);
    digitalWrite(RED_LED, LOW);

    lcd.setCursor(0, 1);
    lcd.print("Status: Normal ");
  }
  else {
    digitalWrite(GREEN_LED, LOW);
    digitalWrite(YELLOW_LED, LOW);
    digitalWrite(RED_LED, HIGH);

    lcd.setCursor(0, 1);
    lcd.print("Status: Noisy! ");
  }

  delay(500);
}

What This Version Displays on LCD

Line 1:
Noise: XX dB

Line 2:

• • Status: Quiet

  • Status: Normal

  • Status: Noisy!

Project Highlights

• • Real-time noise level display

  • Visual discipline indicator for classrooms

  • Works perfectly for ESP32 projects, IoT projects, and automation

  • Easy to expand with Firebase, Blynk, or ThingSpeak

  • Ideal for student projects in Lahore, school projects, and final year projects

Software Development and Noise Calculation Logic

We program the ESP32 using Arduino IDE. The firmware reads analog values from the sound sensor, calculates an average amplitude, and maps it to a decibel-like range. These values are then displayed in real time.

For advanced IoT use cases, data can be uploaded to Firebase, ThingSpeak, or Blynk IoT, enabling dashboards and historical analysis—ideal for industrial projects and cnc automation research.

Applications in Student, School, and Industrial Projects

This project is highly adaptable and suitable for:

• • Student projects in Lahore

  • Final year projects

  • School discipline systems

  • Medical science model projects

  • Industrial automation

  • Robotics

  • Smart campus solutions

Its simplicity combined with real-world relevance makes it one of the best engineering projects in LHORE, Pakistan.

Why Choose QKZee Technologies for Student Projects in Lahore

We collaborate with QKZ Tech, QKZee, and QKZee Technologies to deliver best engineering services for student projects, final year projects, and industrial projects.

• • Homepage: QKZee Technologies

  • Services: Engineering Services

  • Buy Electronics Parts: Shop Now

  • Engineering Projects: Student & Industrial Projects

  • Consultation with Qasim Shahzad: Get in Touch

We offer best price for student projects, consultation for final year projects in Lahore, and complete project guidance.