The Fault Detection in Home Automation through Voice using Bluetooth and IoT system is designed to provide intelligent monitoring, control, and fault detection of household electrical appliances. The system is built around an Arduino UNO controller and enables users to operate home devices through voice commands using an Android application connected via the HC-05 Bluetooth module. In addition, the ESP8266 Wi-Fi module connects the system to the internet, allowing remote monitoring and control through the Blynk IoT application. The system controls lighting loads through transistor driver circuits and continuously monitors their operating status using current sensors and LDR sensors. By comparing the commanded state of a device with the actual sensed status, the controller can detect faults such as lamp failure, disconnection, or abnormal operation. Environmental conditions such as temperature and humidity are monitored using the DHT11 sensor and displayed on an LCD screen. Real-time device status, fault information, and sensor data are transmitted to the Blynk application for remote access. This system enhances convenience, energy efficiency, and safety by providing voice-based control, IoT-based monitoring, and automatic fault detection in smart home environments.    

The main objectives of the project are:

  To develop a home automation system that enables appliance control through voice commands using Bluetooth communication.

  To implement IoT-based remote monitoring and control of household devices using the Blynk application.

  To detect electrical appliance faults automatically by monitoring device current and operational status.

  To provide real-time status and fault notifications to users through the IoT platform for quick maintenance.

  To improve home safety, convenience, and energy efficiency through intelligent monitoring, automation, and fault detection.    

The major building blocks of this project are:

• Adapter Power Supply.
• Arduino UNO.
• LEDs.
• Current
• Esp8266 Wi-Fi Module.
• LDR sensors.
• LCD display.
• DHT-11.
• Bluetooth module.
• DC fan.

  Software’s used:    

1. Embedded C programming.
2. Arduino IDE programmer for dumping code into Micro controller.
3. Express SCH for Circuit design.

     

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