Virtual Booth

Excessive noise in educational environments disrupts student concentration, degrades learning quality, and presents a continuous monitoring challenge for teachers. This project presents CalmClass IoT, an automated smart classroom noise monitoring and alert system designed to foster focused learning environments. Built around an ESP32 microcontroller, the device utilizes an analog sound sensor to capture ambient noise levels in real-time and display decibel status on a 16x2 LCD module.

The system categorizes noise levels into three distinct thresholds: Quiet (0–60dB), Caution (61–80dB), and Too Noisy (>80dB). When sound intensity exceeds the preset threshold (>80dB), the ESP32 triggers a local visual-auditory alarm consisting of a red LED indicator and a piezo buzzer. Simultaneously, the system leverages Wi-Fi connectivity to transmit instant, automated alert notifications—including decibel readings and timestamps—directly to educators via a Telegram Bot.

By automating noise tracking and remote alerting, CalmClass IoT provides a cost-effective, easy-to-install solution suitable for schools, examination halls, libraries, and training centers. The prototype successfully demonstrates how low-cost IoT hardware can encourage self-discipline among students while streamlining classroom management for educators.