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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The core of the system is an Arduino UNO microcontroller, which gathers environmental data from a DHT11 temperature and humidity sensor and monitors power levels using a voltage sensor. Based on the ambient temperature, the Arduino activates a DC fan via a transistor switch, offering automated thermal regulation.

To enhance user interaction and remote monitoring capabilities, the system includes an LCD display for real-time local readings and an ESP8266 Wi-Fi module for wireless data transmission. Sensor data along with battery status is uploaded to the WEB dash board, enabling users to track environmental conditions and system performance remotely via the Internet of Things (IoT) infrastructure.

This solution demonstrates a sustainable and intelligent approach to climate control using renewable energy, IoT connectivity, and smart automation, making it suitable for homes, greenhouses, and other off-grid applications.

Objectives:

• To design a solar-powered system for energy-efficient operation.
• To automate DC fan control based on temperature and humidity.
• To monitor voltage levels of the solar and battery system.
• To enable real-time data display on an LCD screen.
• To implement IoT connectivity using the ESP8266 Wi-Fi module.
• To upload sensor data to the web for remote monitoring.

The major building blocks of this project are:

• Solar Panel.
• Charging circuit.
• LM2596.
• Relay.
• Rechargeable battery.
• Arduino UNO.
• DHT11(Temperature and humidity) sensor.
• LCD display.
• DC fan.
• Esp8266 WI-FI module.
• Relay.

Software Used:

• Arduino IDE studio compiler for Embedded C programming.
• Express SCH for Circuit design.
• WEB technology.

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In this project we develop an advanced battery thermal management system for emerging electric vehicles. In real time; The developed battery thermal management system is a combination of thermoelectric cooling, forced air cooling, and liquid cooling. The liquid coolant has indirect contact with the battery and acts as the medium to remove the heat generated from the battery during operation. Forced air assisted heat removal is performed from the condenser side of the thermoelectric liquid casing.

A battery management system (BMS) is proposed which is used for electronic vehicle that manages a rechargeable battery, such as by protecting the battery from operating outside its safe operating area, monitoring its state using Arduino UNO microcontroller.

The controlling device of the whole system is ARDUINO UNO microcontroller. The integrated modules to the controller are temperature sensor, 3.7V lithium-ion Battery along with voltage sensor, cooling fan, buzzer and LCD Module. Microcontroller will display the voltage values as well as battery ambient temperature value on LCD displays. If the temperature value crosses the set limit, then microcontroller active the buzzer and turn on the cooling fan. To achieve this task microcontroller loaded program written in embedded C language.

The major building blocks of this project are:

• Power supply
• ARDUINO UNO Microcontroller.
• Temperature sensor.
• Voltage sensor.
• Buzzer.
• 7V Lithium-Ion Battery.
• Cooling Fan.
• LCD display.

Software’s used:

• Embedded C programming.
• Arduino UNO for dumping code into Micro controller.
• Express SCH for Circuit design.

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Helmet section: The controlling device of the whole system is PIC Microcontroller. Switch, alcohol sensor, MEMS SENSOR, RF Transmitter, is interfaced to the Microcontroller. Whenever the user wears the helmet, the switch detects that, then only the helmet section circuit works. When the alcohol sensor detects the alcohol and MEMS sensor detects the accident of the bike; this data is sent to the microcontroller. The microcontroller transmits this data through RF Transmitter.

Vehicle Section: This data is received by RF receiver module and fed as this to the microcontroller. If the sensor data is abnormal then microcontroller stops the ignition of the vehicle and takes the location from GPS and sends the SMS through GSM along with GPS coordinate to a predefined number. And also give the audible alerts through Buzzer. The status of the project is display on LCD. Here DC motor works as a vehicle.

RF Communication ranges in between 30 KHz to 300 GHz. RF communication works by creating electromagnetic waves at a source and being able to pick up those electromagnetic waves at a particular destination. These electromagnetic waves travel through the air at near the speed of light. The wavelength of an electromagnetic signal is inversely proportional to the frequency; the higher the frequency, the shorter the wavelength.

The action of these instructions is already loaded into the Microcontroller using Embedded C programming. The intelligent control software, which has been developed Embedded C programming language.

The main blocks of this project are:

• Regulated power supply.
• PIC Microcontrollers.
• Crystal oscillator.
• Reset button.
• RF TX,RX
• Alcohol sensor.
• MEMS Sensor.
• GSM.
• GPS.
• LCD display.
• Buzzer.
• DC Motor with driver.
• LED indicator.

Software’s used: 

1. PIC-C compiler for Embedded C programming.
2. PIC kit 2 programmer for dumping code into Micro controller.
3. Express SCH for Circuit design.

Block diagram:

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