An Arduino Nano serves as the central control unit, monitoring system battery voltage using voltage sensor. The transmitted wireless power is received by a secondary coil in the receiving vehicle, converted from AC to DC, and regulated using a TP4056 charging module to safely charge a 3.7V Li-ion battery. Continuously monitor the battery voltage on LCD display, while a buzzer provides audible alerts for fault or threshold conditions.

This system eliminates the need for conventional charging cables, reduces wear and tear of connectors, and enhances safety and convenience. The proposed V2V wireless charging model demonstrates a practical solution for emergency charging, roadside assistance, and smart EV ecosystems, contributing toward sustainable and intelligent transportation systems.

The main objectives of the project are:

 To design a wireless charging system for electric vehicles.

  To enable vehicle-to-vehicle power transfer without using physical cables.

  To use inductive coupling for safe and efficient wireless energy transmission.

  To monitor battery voltage using sensor.

  To control and manage the system using an Arduino Nano.

  To display charging status and voltage on an LCD display.

  To provide alerts using a buzzer for abnormal conditions.

  To demonstrate a safe and portable charging solution for emergency situations.

The major building blocks of the project are:

• Regulated power supply.
• 12V Rechargeable Battery.
• Arduino NANO Microcontroller.
• Wireless Power Transmitting and Receiving Coil
• Voltage sensor.
• LCD display.
• Buzzer.
• Pulse generator.
• TP4056IC.
• 7V LI –ION Battery.

Software’s used:

1. Arduino IDE for compiling and dumping code into controller
2. Express SCH for Circuit design.

video:

The purpose of this project is to design and construct a solar tracker system that follows the sun direction for producing maximum out for solar powered applications at IOT based dual axis using DC motor and platform.

This project consists of few sun light sensors and a motorized mechanism for rotating the panel in the direction of sun. This system works continuously without any interruption. The main controlling device of the whole system is an Arduino nano Microcontroller. Solar panel along with voltage sensor, limit switches, loads, ESP8266 WI-FI and LDRs are interfaced to Microcontroller. The Microcontroller initially measures the voltage and WATTS from solar panel and will be send to the blynk mobile application through ESP8266 WI-FI Module. Microcontroller based control system takes care of sensing sunlight and controlling the motorized mechanism using DC motors. Limit switches are used to sense the tracking mechanism. Solar panel energy is obtained stored into the battery through charging circuit and this battery power is used to turn ON the loads will be controlled by the user from blynk mobile application. To perform this intelligent task, Microcontroller is loaded with an intelligent program written using embedded ‘C’ language.

The main objectives of the project are:

• Tracks sun direction automatically.
• Starts automatically in the morning (initial position).
• Solar panel moves using DC motor.
• Uses IoT technology.
• Monitors voltage & power in Blynk app.
• Controls loads remotely via mobile.

The major building blocks of this project are:

• Arduino Nano Microcontroller.
• Sun light Sensor to sense the sun direction.
• Motorized mechanism to control the position of solar panel.
• Limit switches.
• ESP8266 WI-FI module.
• Charging circuit.
• Rechargeable battery.
• 7805 voltage regulators.
• Two LEDs.

Software’s used:

• Arduino IDE compiler for Embedded C programming.
• Express SCH for Circuit design.
• Blynk mobile application.

Block Diagram:

video:

The solar panel is connected to a charging circuit that charges a rechargeable battery for energy storage. Voltage and current sensors monitor the solar panel output, and a voltage sensor tracks battery voltage to ensure efficient power management. The system also measures environmental parameters such as temperature and humidity using a DHT11 sensor to analyze their effect on solar performance. In this system, LEDs are used as the primary load, which can be switched ON or OFF through the switch. Additionally, a water pump is integrated to pump the water on the solar panel surface to reduce temperature and remove dust, thereby improving panel efficiency which can be switched ON or OFF through the switch.

An ESP8266 Wi-Fi module enables real-time data transmission to the ThingSpeak cloud platform, allowing remote monitoring of solar voltage, current, battery voltage, temperature, and humidity. The floating design allows installation on water bodies, improving cooling efficiency and optimizing land utilization. Overall, the system provides an automated, intelligent, and remotely monitored solar tracking solution that improves solar power generation efficiency and supports sustainable energy management.

The main objectives of the project are:

  To design a dual-axis solar tracking mechanism.

  To maximize solar energy output using LDR-based tracking.

  To implement battery charging and energy storage.

  To monitor voltage, current, temperature, and humidity.

  To integrate IoT for real-time cloud monitoring.

  To implement a water cooling and cleaning mechanism.

  To develop a floating platform for improved cooling and land optimization.

The major building blocks of this project are:

1. Charging Circuit.
2. Rechargeable Battery.
3. Solar Panel.
4. PIC Microcontroller.
5. Sun light Sensor to sense the sun direction.(LDRs)
6. Motorized mechanism to control the position of solar panel(DC motors with L293D driver)
7. Limit switches.
8. Voltage sensors.
9. Current Sensor.
10. DHT11 sensor:
11. ESP8266 WI-FI Module.
12. LEDs as load.
13. Water pump.

Software’s used:

1. PIC-C compiler for Embedded C programming.
2. PIC kit 2 programmer for dumping code into Microcontroller.
3. Express SCH for Circuit design.
4. IOT thingspeak technology.

video:

The system uses Infrared (IR) sensors installed on both sides of the road to continuously monitor vehicle density. These sensors send real-time data to a PIC microcontroller, which processes the traffic conditions and determines which side of the road has higher congestion. Based on this analysis, the controller actuates servo motors that automatically shift the road divider toward the less congested side, thereby increasing lane space for the high-density traffic flow.

A regulated power supply ensures stable operation of the system, while a crystal oscillator maintains precise timing for accurate processing. The system also includes an LCD display to show traffic status and divider position, along with LED indicators for visual alerts. A reset button is provided for manual system restart if required.

This automated approach improves road space utilization, reduces traffic congestion, minimizes travel time, and enhances overall traffic management efficiency without requiring manual intervention. The proposed system is cost-effective, scalable, and suitable for implementation in high-traffic urban areas.

Objectives:

• To analyze traffic conditions using a PIC microcontroller
• To automatically adjust the road divider position
• To allocate more road space to high-density traffic
• To reduce traffic congestion
• To improve traffic flow efficiency
• To minimize travel delays
• To enable automatic traffic management
• To enhance road safety
• To develop a cost-effective smart traffic solution
• To monitor traffic density using IR sensors.

The major blocks of the project:

1. PIC microcontroller.
2. Regulated Power supply.
3. FOUR IR sensor
4. LCD display
5. Servo motor.
6. Crystal oscillator.
7. Reset Button.
8. 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.

video:

The project aims in designing an IOT based food delivery robot which is operated wirelessly through smart phone using IOT technology.

This is the internet of things (IOT) based project, where we are particularly uses the Esp32 camera, head light and two DC motor along with l293d motor driver.

The ESP32 cam will capture live data with regards to its surroundings and then send it to a particular IP address through internet. User can access this device using mobile phone and while seeing the video user will control the robotic vehicle along with headlight and door lock from webpage.

This robot consist of ultrasonic sensor which uses to detect the obstacles in its path and switches ON the blue lights for alerts. This robot consist of one more feature is uses to detect the theft and alerts through buzzer.

After reaches the destination robot will ask the password .Use need to enter the correct password though keypad .If it is correct the door will open to collect the food after some time the door will close automatically. The status of the project will display on LCD.

The main controlling device of the project is PIC microcontroller which loaded program written in embedded C language.

The objectives of the project include:

• IOT based food delivery robot.
• Controlling robot, head light and door lock from web browser
• ESP32 camera based surveillance system.
• Keypad based password entering system.
• Obstacle detection and switching ON the blue lights.
• Theft detection and Alerting through Buzzer.
• Visible alerts using LCD display.
• To achieve this task using PIC Microcontroller.

The major building blocks of this project are:

• Rechargeable battery.
• ESP32 Camera.
• DC Motor with L293D driver.
• Blue light.
• Head light.
• Ultrasonic sensor.
• DC motor with l298 driver.
• Buzzer.
• Keypad.
• PIC Microcontroller.
• LCD display.

Software’s used:

1. Arduino IDE for compiling and dumping code into ESP32 Camera.
2. PIC-C compiler for Embedded C programming.
3. PIC kit 2 programmer for dumping code into Micro controller.
4. Express SCH for Circuit design.

video:

The robot’s mobility is controlled via DC motors driven by an L298 motor driver, with an additional motor managing the door’s opening and closing based on rain sensor input. A speaker provides voice alerts to enhance interaction and safety. The robot is powered by a rechargeable battery regulated by an LM2596 voltage regulator and supported by a charging circuit.

while moving forward, when the robot detects obstacles or rain, it sends SMS alerts with the current GPS location through a GSM module, ensuring real-time updates to the user. The system features a web interface that allows users to start the robot, initiate QR code scanning, view live streams, and monitor order count and serial numbers dynamically as the robot scans items during delivery.

This design highlights the integration of Raspberry Pi with sensors, communication modules, and web interfaces to develop a low-cost, efficient, and socially interactive delivery robot suitable for indoor and controlled environments.

Objectives:

• Integrate Raspberry Pi 3 with sensors such as ultrasonic, IR, rain sensor, and GPS for navigation and environment sensing.
• Implement a Pi Camera for live streaming and QR code scanning to identify delivery items.
• Control DC motors for robot movement and door operation using an L298 motor driver.
• Develop a communication system using GSM to send SMS alerts with location in case of obstacles or rain detection.
• Create a web interface for remote control, live monitoring, QR code scanning activation, and order management.
• Ensure power management with a rechargeable battery and charging circuit.

The major building blocks of this project are:

• Battery.
• Raspberry Pi.
• Pi Camera.
• IR Sensor.
• Ultrasonic Sensor.
• GSM
• GPS
• Speaker.
• Rain Sensor.
• L298 With DC Motors.
• Door
• SD Card.
• Charging Circuit.
• LM2596

Software’s used:

• Raspbian OS.
• TinyML and deep learning techniques

Software’s used:

1. Express SCH for Circuit design.
2. Raspbian OS, Python language.
3. Web technology.

video:

The gesture control unit is built using a MEMS accelerometer interfaced with an Arduino Nano. Hand movements are detected and converted into directional commands, which are transmitted wirelessly through an RF transmitter. The robot section receives these commands via an RF receiver and processes them using an Arduino Uno for motion control.

To enhance operational intelligence, the robot integrates a PIR sensor for human detection and an ultrasonic (SR04) sensor for obstacle detection. The PIR sensor identifies motion in restricted zones, enabling surveillance capabilities, while the ultrasonic sensor continuously monitors nearby obstacles to prevent collisions. The robot can function in both manual (gesture-based) and autonomous modes, selectable through a control switch.

A solar-powered charging system with a rechargeable battery ensures energy-efficient and long-duration deployment in remote military bases. The L298 motor driver controls the DC motors for movement, while a buzzer provides alert signals during human detection or obstacle proximity. Real-time information such as gesture commands, detected obstacles, and operational mode is displayed on an LCD screen for monitoring.

This system offers a cost-effective, energy-efficient, and safe robotic solution for military surveillance, border monitoring, and hazardous area inspection, reducing human risk while enhancing operational capability.

The main objectives of the project are:

  To develop a wireless gesture-based control system that allows intuitive robot movement using hand motions.

  To implement human detection using a PIR sensor for surveillance in restricted or sensitive military zones.

  To integrate obstacle detection using an ultrasonic (SR04) sensor to enable safe navigation and collision avoidance.

  To design a system capable of operating in both manual (gesture-controlled) and autonomous modes.

  To establish reliable RF wireless communication between the gesture unit and the robot.

  To utilize solar energy with rechargeable battery storage for long-duration and energy-efficient operation in remote locations.

  To provide real-time system feedback such as motion direction, obstacle distance, and operating mode through an LCD display.

  To enhance safety by generating alerts using a buzzer during human detection or obstacle presence.

  To build a cost-effective and low-power surveillance robot suitable for military base monitoring and hazardous area inspection.

The major building blocks of this project are:

1. Solar.
2. Charging Circuit.
3. Battery.
4. Arduino uno and Arduino nano Microcontrollers.
5. MEMS Accelerometer sensor.
6. RF transmitter and receiver modules.
7. PIR Sensor.
8. Encoder and Decoder.
9. SR04 Ultrasonic sensor.
10. Mode Enable Switch
11. DC motors with drivers.
12. LED indicators

Software’s used:

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

Block Diagram:

video:

The project aims in designing an IOT based food delivery robot which is operated wirelessly through smart phone using IOT technology.

This is the internet of things (IOT) based project, where we are particularly uses the Esp32 camera, head light and two DC motor along with l293d motor driver.

The ESP32 cam will capture live data with regards to its surroundings and then send it to a particular IP address through internet. User can access this device using mobile phone and while seeing the video user will control the robotic vehicle along with headlight and door lock from webpage.

This robot consists of ultrasonic sensor which uses to detect the obstacles in its path and switches ON the blue lights for alerts. This robot consists of one more feature is used to detect the theft and alerts through buzzer.

After reaches the destination robot will ask the password. Use need to enter the correct password though keypad. If it is correct the door will open to collect the food after some time the door will close automatically. The status of the project will display on LCD.

The main controlling device of the project is PIC microcontroller which loaded program written in embedded C language.

The objectives of the project include:

• IOT based food delivery robot.
• Controlling robot, head light and door lock from web browser
• ESP32 camera-based surveillance system.
• Keypad based password entering system.
• Obstacle detection and switching ON the blue lights.
• Theft detection and Alerting through Buzzer.
• Visible alerts using LCD display.
• To achieve this task using PIC Microcontroller.

The major building blocks of this project are:

• Rechargeable battery.
• ESP32 Camera.
• DC Motor with L293D driver.
• Blue light.
• Head light.
• Ultrasonic sensor.
• DC motor with l298 driver.
• Buzzer.
• Keypad.
• PIC Microcontroller.
• LCD display.

Software’s used:

1. Arduino IDE for compiling and dumping code into ESP32 Camera.
2. PIC-C compiler for Embedded C programming.
3. PIC kit 2 programmer for dumping code into Micro controller.
4. Express SCH for Circuit design.

video:

The helmet is equipped with sensors including a gas sensor, temperature sensor, and humidity sensor, which are interfaced with a microcontroller. These sensors continuously collect real-time data from the surroundings. If any parameter exceeds the predefined safety limits, the system immediately generates alerts through a buzzer and displays warning messages on an LCD.

The collected data is transmitted to a remote-control station using a Wi-Fi module, enabling real-time monitoring through a JUICESSH mobile APP. This allows supervisors to track environmental conditions and take preventive measures promptly.

Wi-Fi technology is used for wireless communication, operating in the 2.4 GHz frequency band with a typical range of 40 to 300 feet. It enables efficient and reliable data transmission between the helmet and the monitoring system.

Overall, the proposed system provides a cost-effective and efficient solution for real-time monitoring and early warning in coal mines, thereby reducing potential safety hazards and improving working conditions for miners.

The features of the project are:

• Real-Time Monitoring
  Continuously monitors temperature, humidity, and gas levels inside the mine.
• Gas Leakage Detection
  Detects harmful gases (like LPG, methane) using gas sensors.
• Temperature & Humidity Sensing
  Tracks environmental conditions to ensure safe working atmosphere.
• IoT-Based Data Transmission
  Sends real-time sensor data to a Mobile APP using Wi-Fi module.
• Wireless Communication (Wi-Fi)
  Enables remote monitoring without physical connections.
• Early Warning System
  Provides immediate alerts when values exceed safe limits.
• Audio Alert (Buzzer)
  Generates sound alert during dangerous conditions.
• Visual Alert (LCD Display)
  Displays real-time sensor values and warning messages.
• Cost-Effective Design
  Uses low-cost components like microcontroller and sensors.
• Compact & Wearable System
  Designed to be mounted on a helmet for easy use by miners.
• Improved Safety
  Helps prevent accidents by early detection of hazardous conditions.

The main blocks of this project are:

1. Regulated power supply.
2. PIC Microcontroller.
3. Gas sensor.
4. DHT11(Temperature & Humidity )sensor.
5. Wi-Fi module.
6. Buzzer with driver.
7. LCD with driver.
8. Crystal
9. LED indicators.
10. Reset Button.

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.

video:

The system uses a solar panel to generate electrical energy, which is stored in a rechargeable battery through a charging circuit. This stored battery power is used to operate the entire robot, including movement, agricultural tools, control electronics, and communication modules. An automatic solar tracking system using two LDR sensors and a servo motor continuously adjusts the solar panel position to capture maximum sunlight, thereby improving battery charging efficiency.

An Arduino Nano microcontroller acts as the main control unit, receiving commands from the Android mobile via an HC-05 Bluetooth module. Based on user commands, the robot performs agricultural tasks such as ploughing, seeding, weed cutting, and water spraying using DC motors and relay-based control. The robot’s movement is controlled by DC motors driven through an L293D motor driver.

The proposed system reduces human effort, improves productivity, and promotes the use of renewable energy, making it a practical and eco-friendly solution for smart agriculture.

The main objectives of the project are:

1. To design and develop a solar-powered agricultural robot capable of performing multiple farming operations.
2. To store solar energy in a rechargeable battery and utilize the stored energy to power the robot and its subsystems.
3. To implement an automatic solar tracking system using LDR sensors and a servo motor for maximum solar energy harvesting.
4. To enable wireless control of the robot using an Android mobile application via Bluetooth (HC-05).
5. To perform essential agricultural tasks such as ploughing, seed sowing, weed cutting, and water spraying using DC motors and relay-based control.
6. To control robot movement efficiently using DC motors driven by an L293D motor driver.
7. To reduce manual labor and time consumption in agricultural activities.
8. To promote the use of renewable energy and eco-friendly technology in modern agriculture.

The major building blocks of this project are:

• Arduino NANO Microcontroller.
• Solar panel.
• Charging circuit.
• Rechargeable Battery.
• DC Motors Along with L298 Driver.
• HC-05 Bluetooth.
• Seed sowing.
• Water motor.
• Weed cutter.
• Plough.
• DC motors.
• Relays.
• Servo motor.
• LDRs.

Software’s used:

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

video: