25 Creative IoT Lab Projects for Engineering Students

25 Creative IoT Lab Projects for Engineering Students - Cover image

Summary

The convergence of embedded systems, wireless communication, and cloud computing has fundamentally transformed how engineering students approach practical learning in today's academic landscape.

Modern curricula increasingly emphasize hands-on experience with Internet of Things technologies, recognizing that theoretical knowledge alone cannot adequately prepare students for the rapidly evolving tech industry.

Through carefully designed laboratory experiments, students develop crucial skills in sensor integration, data processing, and system connectivity that form the backbone of contemporary engineering solutions.Β 

Educational research consistently demonstrates that IoT-based learning creates meaningful connections between abstract engineering concepts and real-world applications.

When students engage with connected devices and smart systems, they naturally absorb complex principles of embedded programming, wireless protocols, and cloud integration while building tangible solutions to everyday problems.

This hands-on approach not only improves technical competency but also cultivates the innovative mindset necessary for success in an increasingly interconnected worldΒ 

25 Creative IoT Lab Projects for Engineering Students - Cover image

1. Smart Parking System

About the ProjectΒ 

There's nothing more frustrating than circling a parking lot looking for an empty space. This project empowers students to solve a real-world urban problem by building a system that intelligently monitors parking availability.

It brings the concept of smart cities to life, allowing students to design a solution that saves time, reduces fuel consumption, and decreases traffic congestion.Β 

Materials Needed:Β 

  • NodeMCU ESP8266 or ESP32Β 
  • Ultrasonic Sensors (HC-SR04) or IR Sensors for each parking spaceΒ 
  • LEDs (Green for available, Red for occupied)Β 
  • Connecting wires and a breadboardΒ 
  • Power supply
  • A cloud platform (e.g., ThingSpeak, Firebase) for data visualizationΒ 

Getting started with the Project:

In this project, students will mount ultrasonic sensors over mock parking spaces to detect the presence of a vehicle. The NodeMCU microcontroller reads the data from these sensors.

If a space is empty, a green LED lights up; if it's occupied, a red LED is lit. The NodeMCU then sends this status data over Wi-Fi to a cloud platform.

The final step involves creating a simple web dashboard or mobile app that fetches this data and displays a real-time map of the parking lot, guiding drivers to vacant spots.Β 

2. Air Pollution Monitoring SystemΒ 

About the ProjectΒ 

This project transforms students into environmental scientists, enabling them to build a device that measures the quality of the air around them.

It's a powerful way to understand environmental pollutants firsthand and see how technology can be used to gather critical data for public health and awareness campaigns.Β 

Materials Needed:Β 

Getting started with the Project:Β 

Students will interface various gas and particulate sensors with the microcontroller. The code will be written to read sensor values, convert them into standard units (like Parts Per Million - PPM), and display them on the local screen.

Simultaneously, the system connects to Wi-Fi and pushes this data to a cloud service at regular intervals. Students can then create graphs and dashboards to visualize air quality trends over time, correlating them with traffic patterns or industrial activity.Β 

3. Face Recognition BotΒ 

About the ProjectΒ 

Dive into the exciting world of Artificial IntelligenceΒ and Machine Learning with this advanced project.

Students will build a "smart" system that can identify individuals, acting as a futuristic security guard for a door or a personalized greeter that recognizes and welcomes authorized users.Β 

Materials Needed:Β 

Getting started with the Project:Β 

This project uses a Raspberry Pi and its camera module to capture live video. Students will install and use the OpenCV library in Python to implement face detection and recognition algorithms.

They will first create a dataset of "known" faces. The program will then compare faces seen in the video feed against this dataset. If a recognized face is detected, the Raspberry Pi can trigger an action, such as sending a notification, activating a servo motor to grant access, or displaying a welcome message.Β 

4. Health Monitoring SystemΒ 

About the ProjectΒ 

This DIY project puts students at the forefront of healthcare technology. They will design a wearable or bedside system that can track vital signs like heart rate and body temperature, demonstrating how IoT can revolutionize remote patient care and personal wellness.Β 

Materials Needed:Β 

Getting started with the Project:Β 

Students will connect the pulse and temperature sensors to the microcontroller. The system will continuously read the data, process it to calculate beats per minute (BPM) and temperature in Celsius/Fahrenheit, and display it on the OLED screen.

The core IoT functionality involves sending this data securely to a cloud database. A web or mobile application can then be developed to allow a user (or a doctor) to monitor the health data remotely and set up alerts for abnormal readings.Β 

5. Home Automation SystemΒ 

About the ProjectΒ 

This is a classic and highly rewarding IoT project that turns a regular room into a smart one.

Students will feel like modern-day inventors as they build a system to control lights, fans, and other appliances using their smartphone or even voice commands, getting a foundational understanding of smart home technology.Β 

Materials Needed:Β 

  • NodeMCU ESP8266 or Raspberry PiΒ 
  • Relay module (4-channel or 8-channel)Β 
  • Appliances to control (e.g., a bulb, a small fan)Β 
  • Connecting wiresΒ 
  • Blynk or a custom-built web application for the user interfaceΒ 

Getting started with the Project:Β 

The project involves connecting home appliances to a relay module, which is controlled by the microcontroller (NodeMCU or Raspberry Pi).

Students will set up a mobile dashboard using an app like Blynk or develop a simple webpage. This interface will have buttons to switch the relays on and off.

When a button is pressed on the phone, a signal is sent over the internet to the microcontroller, which then toggles the corresponding relay, turning the appliance on or off.Β 

6. IoT Based TDS Meter ProjectΒ 

About the ProjectΒ 

Clean water is essential. This project allows students to build their own water quality testing device.

They'll engineer a system that measures the purity of water by detecting Total Dissolved Solids (TDS) and then logs this data online, making them citizen scientists monitoring a vital resource.Β 

Materials Needed:Β 

Getting started with the Project:Β 

Students will calibrate the TDS sensor and interface it with the microcontroller. The system will take readings from the sensor, convert them to PPM, and display them on the LCD screen.

The IoT aspect involves programming the microcontroller to periodically send these TDS readings to a cloud server. This allows for long-term monitoring of water quality from a specific source, like a home tap or a local stream.Β 

7. IoT Based Weather Reporting SystemΒ 

About the ProjectΒ 

This project lets students become amateur meteorologists by building their own personal weather station. It's a fantastic way to learn about environmental sensors and data logging.

Students can track local weather conditions in real-time and compare their data with professional forecasts, offering a hands-on lesson in data collection and analysis.Β 

Materials Needed:Β 

  • NodeMCU ESP8266 or ESP32
  • DHT11 or DHT22Β sensor (for temperature and humidity)Β 
  • BMP180Β or BME280 sensor (for atmospheric pressure and altitude)Β 
  • Rain sensor module
  • LDRΒ (Light Dependent Resistor) to detect light intensityΒ 
  • A cloud platform (e.g., ThingSpeak, Blynk)Β 

Getting started with the Project:

Students will connect all the sensors to the microcontroller. The code will read data from each sensor periodicallyβ€”temperature, humidity, pressure, and light levels.

The rain sensor will detect precipitation. The NodeMCU then connects to your local Wi-Fi and sends this compiled weather data to a cloud service like ThingSpeak.

Students can then create public or private channels to display real-time graphs and gauges of their local weather, accessible from anywhere in the world.Β 

8. Smart Gas Leakage Detector BotΒ 

About the ProjectΒ 

Safety is paramount, and this project tackles a critical safety issue: gas leaks. Students will engineer a device that can "sniff" the air for dangerous gases like LPG and methane.

This isn't just a simple alarm; it's a smart system that can send instant alerts to a homeowner's phone, demonstrating how IoT can provide peace of mind and prevent disasters.Β 

Materials Needed:Β 

  • ArduinoΒ 
  • MQ-2 or MQ-5 Gas SensorΒ 
  • Buzzer for an audible alarmΒ 
  • LEDs (e.g., Green for safe, Red for danger)Β 
  • Wi-Fi module (if using a standard Arduino board)Β 
  • Cloud service with notification capabilities (e.g., IFTTT, Twilio)Β 

Getting started with the Project:

The core of the project is the MQ-series gas sensor, which is interfaced with the microcontroller. Students will write a program that continuously reads the analog value from the sensor.

If the value crosses a pre-set safety threshold, the system triggers an immediate local alarm by activating the buzzer and a red LED.

Simultaneously, the microcontroller uses its Wi-Fi connection to send an HTTP request to a service like IFTTT, which can then send an SMS notification or a phone call to the user.Β 

9. Smart Waste Management SystemΒ 

About the ProjectΒ 

Imagine a city where garbage trucks only visit bins that are actually full. This project lets students design that future.

By building a smart trash bin, they learn how IoT can optimize city services, save resources, and create more efficient, sustainable urban environments.Β 

Materials Needed:Β 

Getting started with the Project:

In this project, an ultrasonic sensor is mounted inside a trash bin to measure the distance to the trash level. The microcontroller calculates the fill percentage based on this data.

When the bin reaches a certain threshold (e.g., 80% full), the microcontroller sends an alert to a central cloud server. A dashboard can then display a map showing the status of all bins, allowing sanitation departments to plan the most efficient collection routes.Β 

10. Contactless DoorbellΒ 

About the Project

This project reimagines a common household item for the modern age. Instead of a physical button, students will build a doorbell that detects a visitor's presence and automatically sends a notification to the homeowner's smartphone. It’s a great introduction to proximity sensorsΒ and push notifications.Β 

Materials Needed:Β 

Getting started with the Project:

An ultrasonic or PIR sensor is placed near the door, pointing outwards. The microcontroller constantly monitors the sensor. When a person stands within a defined range (e.g., 1-2 feet) for a couple of seconds, the system registers it as a visitor.

It then connects to the internet and sends a push notification to the homeowner's phone via an app like Blynk. The notification can simply say, "Someone is at your door!"Β 

11. Home Automation System using IoTΒ 

About the Project

This is a quintessential and highly rewarding IoT project that turns a regular room into a smart one. Students will feel like modern-day inventors as they build a system to control lights, fans, and other appliances using their smartphone or even voice commands.

This project provides a foundational understanding of smart home technology, which is a booming industry in cities worldwide, from San Francisco to Bangalore.Β 

Materials Needed:Β 

  • NodeMCU ESP8266 or Raspberry PiΒ 
  • Relay module (4-channel or 8-channel)Β 
  • Appliances to control (e.g., a bulb, a small fan)Β 
  • Connecting wires and breadboardΒ 
  • Blynk or a custom-built web application for the user interfaceΒ 

3. Project Overview:

The robotic project involves connecting home appliances to a relay module, which is controlled by the microcontroller (NodeMCU or Raspberry Pi).

Students will set up a mobile dashboard using an app like Blynk or develop a simple webpage. This interface will have buttons to switch the relays on and off.

When a button is pressed on the phone, a signal is sent over the internet to the microcontroller, which then toggles the corresponding relay, turning the appliance on or off from anywhere with an internet connection.Β 

12. Home Security Model using IoTΒ 

About the Project

Go beyond a single sensor and build an integrated security network for a model home. This project combines multiple types of sensors to create a layered defense system.

Students will learn how to manage different data streams and create a central dashboard that acts as a security hub, sending alerts for various potential threats like intruders, fire, or gas leaks.Β 

Materials Needed:Β 

  • Raspberry Pi or ESP32 (for handling multiple sensors)Β 
  • PIR Motion Sensor (for intruder detection)Β 
  • Magnetic Reed Switch (for door/window open/close status)Β 
  • Flame sensor or Smoke detectorΒ 
  • Buzzer and LEDs for alarmsΒ 
  • A camera module (optional, for visual verification)Β 
  • A cloud dashboard (e.g., ThingsBoard, Blynk)Β 

Getting started with the Project:

Students will connect all sensors to the central microcontroller. The system runs in two modes: "Armed" and "Disarmed," controlled via a mobile app. When "Armed," if the PIR sensor detects motion or the reed switch detects a door opening, it triggers an alarm (buzzer and flashing lights) and sends an "Intruder Alert" notification.

The flame/smoke sensor runs continuously, sending a "Fire Alert" if triggered, regardless of the mode. A dashboard can display the status of all sensors in real-time.Β 

13. IoT Based Smart Agriculture SystemΒ 

About the Project

This project allows students to step into the world of Ag-Tech (Agricultural Technology). They will build an automated system that monitors soil moisture and environmental conditions to water plants only when necessary. It’s a powerful demonstration of how IoT can conserve water, improve crop yields, and make farming more sustainable and efficient.Β 

Materials Needed:Β 

Getting started with the Project:Β 

The soil moisture sensor is placed in the plant's soil. The microcontroller reads the moisture level and the ambient temperature/humidity from the DHT sensor.

The student programs a logic: "If the soil moisture drops below X%, turn on the water pump for Y seconds." The relay module is used to switch the pump on and off safely.

All the data (moisture level, temperature, and when the pump was last activated) is sent to a cloud dashboard for monitoring.Β 

14. IoT Based Smart ArmΒ 

About the ProjectΒ 

Combine robotics and the Internet of Things to build a robotic arm that can be controlled from anywhere in the world.

This project is a fantastic introduction to mechatronics, servo control, and remote operation, making students feel like they are operating a futuristic industrial robot.Β 

Materials Needed:Β 

  • Robotic Arm Kit (with 3-4 servo motors)Β 
  • ESP32 (needs enough PWM pins for servos)Β 
  • A dedicated power supply for the servo motorsΒ 
  • A web-based interface or a mobile app like Blynk with slidersΒ 

Getting started with the Project:Β 

Students will assemble the robotic arm and connect its servo motors to the microcontroller. They will then create a user interface on a webpage or using Blynk.

The interface will have sliders, with each slider corresponding to a joint on the arm. When a user moves a slider on the app, the value is sent over the internet to the ESP32.

The ESP32 then translates this value into a specific angle and commands the corresponding servo motor to move to that position, allowing for precise remote control of the arm.Β 

15. Emergency Management SystemΒ 

About the ProjectΒ 

This project challenges students to think about public safety on a larger scale. They will design a prototype system that can detect an emergency event (like a fire or a gas leak), automatically trigger local alarms, and send precise location data to first responders.

This demonstrates how connected devices can create smarter, safer cities and save lives in critical situations.Β 

Materials Needed:Β 

  • ESP32 or Raspberry PiΒ 
  • Sensors relevant to the emergency (e.g., flame sensor, smoke sensor, MQ-2 gas sensor)Β 
  • GPS module (for location tracking)Β 
  • Buzzer and LEDs for local alarmsΒ 
  • Cloud service with SMS/email notification capabilities (e.g., Twilio API)Β 

Project Overview:Β 

The system continuously monitors its environment using the selected sensors. If a sensor reading crosses a critical threshold, the microcontroller triggers an immediate local alarm (buzzer and flashing LEDs).

Simultaneously, it fetches the current GPS coordinates and sends an emergency alertβ€”containing the type of emergency and the precise locationβ€”to a predefined phone number or email address via a cloud API. This provides first responders in any local jurisdiction with actionable, real-time data.Β 

16. IoT-based Vehicle Tracking SystemΒ 

About the ProjectΒ 

This Arduino project lets students build their own GPS tracker. They will engineer a compact device that can be placed in a vehicle (or a backpack) to report its location in real-time.

It’s a practical introduction to location-based services, data transmission, and mapping APIs.Β 

Materials Needed:Β 

  • Arduino
  • GPS Module (e.g., NEO-6M)Β 
  • GSM/GPRS Module (e.g., SIM800LΒ or SIM900A) for sending data over the cellular networkΒ 
  • A SIM card with a data planΒ 
  • A cloud platform with mapping widgets (e.g., Blynk, ThingsBoard)Β 

Getting started with the Project:Β 

The GPS module acquires latitude and longitude coordinates from satellites. The microcontroller reads this data from the GPS module.

It then uses the GSM/GPRS module to establish an internet connection and send the coordinate data to a cloud server.

Students can then build a dashboard that displays the vehicle's location on a live map, creating their very own real-time tracking system.Β 

17. Smart Agriculture SystemΒ 

About the ProjectΒ 

This project allows students to step into the world of Ag-Tech (Agricultural Technology). They will build an automated system that monitors soil moisture and environmental conditions to water plants only when necessary.

It’s a powerful demonstration of how IoT projects can conserve water, improve crop yields, and make farming more sustainable and efficient, a critical need in agricultural regions from California's Central Valley to the Punjab region of India.Β 

Materials Needed:Β 

Project Overview:Β 

The soil moisture sensor is placed in the plant's soil. The microcontroller reads the moisture level and the ambient temperature/humidity from the DHT sensor.

The student programs a logic: "If the soil moisture drops below X%, turn on the water pump for Y seconds." The relay module is used to switch the pump on and off safely.

All the data (moisture level, temperature, and when the pump was last activated) is sent to a cloud dashboard, making this a useful data logging project for monitoring and optimizing crop health.Β 

18. Smart Alarm ClockΒ 

About the ProjectΒ 

Reinvent the morning routine with an alarm clock that does more than just beep. This project involves building a clock that can check the local weather, read out the day's calendar appointments, or even start the coffee maker.

It teaches students how to integrate with third-party APIs (Application Programming Interfaces) to pull in useful, personalized data.Β 

Materials Needed:Β 

  • ESP32 or Raspberry PiΒ 
  • LCD or OLED DisplayΒ 
  • Real-Time Clock Module (RTC) for accurate timekeepingΒ 
  • Buzzer or small speakerΒ 
  • Access to APIs for weather (e.g., OpenWeatherMap) and calendar (e.g., Google Calendar)Β 

Project Overview:Β 

The RTC module keeps accurate time even if the device loses power or internet connection. At a set alarm time, the microcontroller triggers the buzzer.

But before it does, it makes API calls over Wi-Fi to fetch the current local weather forecast and the first event on the user's linked calendar.

This information is then parsed and displayed on the screen, so when the user wakes up, they see the time, temperature, and their first appointment of the day, creating a truly smart start to their morning.Β 

19. Smart Cradle SystemΒ 

About the ProjectΒ 

This project focuses on creating a caring and responsive environment for an infant. Students will build a smart cradle that can automatically rock when the baby cries and monitor the nursery's temperature.

It's a heartwarming project that combines sound sensing, motor control, and environmental monitoring.Β 

Materials Needed:Β 

  • ArduinoΒ 
  • Sound Sensor ModuleΒ 
  • Servo motor or a geared DC motor to create the rocking motionΒ 
  • DHT11 Temperature and Humidity SensorΒ 
  • A mobile app (like Blynk) for remote monitoringΒ 

Getting started with the Project:Β 

A sound sensor is placed near the cradle to detect a baby's cry. When the sound level exceeds a threshold, the microcontroller activates the motor to gently rock the cradle for a set period.

Meanwhile, the DHT11 sensor monitors the room's temperature and humidity. All this dataβ€”sound level, room temperature, and rocking statusβ€”is sent to a mobile app, allowing parents to monitor the nursery environment and receive alerts remotely.Β 

20. Smart Door Lock SystemΒ 

About the ProjectΒ 

Forget traditional keys. This project has students build a secure, keyless entry system for a door.

They can integrate multiple access methods like an RFID card, a passcode, or even control via a smartphone, providing a deep dive into access control and security protocols.Β 

Materials Needed:Β 

  • ArduinoΒ 
  • Solenoid Lock or Servo Motor to act as the locking mechanismΒ 
  • RFID Reader Module (MFRC522) with RFID cards/tagsΒ 
  • 4x4 Matrix Keypad
  • Relay Module to power the lockΒ 
  • Mobile app for remote unlockingΒ 

Getting started with the Project:Β 

The system allows unlocking through several methods. A user can tap an authorized RFID card, which the MFRC522 reader verifies against a list of stored UIDs. Alternatively, a user can enter a secret code on the keypad.

Finally, a button on a connected mobile app can trigger the unlock command over the internet. If any of these methods are successful, the microcontroller activates the relay to power the solenoid lock, opening the door for a few seconds.Β 

21. Smart Garage DoorΒ 

About the Project

Ever driven away from home and wondered, "Did I close the garage door?" This project solves that problem. Students will build a system that allows them to check the status of their garage door and open or close it from anywhere using their phone. It’s a practical project that teaches about motor control and state sensors.Β 

Materials Needed:Β 

  • NodeMCU ESP8266Β 
  • Relay Module (to simulate pressing the garage door button)Β 
  • Magnetic Reed Switch or an Ultrasonic Sensor to detect if the door is open or closedΒ 
  • A mobile app like BlynkΒ 

Getting started with the Project:

The relay module is wired in parallel with the physical garage door opener button. The magnetic reed switch is installed on the door and its frame to detect the closed state. The NodeMCU connects to Wi-Fi.

A mobile app interface will show the door's current status (Open/Closed) and have a button to "press" the opener. When the button is tapped on the app, the NodeMCU briefly triggers the relay, simulating a physical button press and operating the door.Β 

22. Streetlight Monitoring SystemΒ 

About the Project

This smart city project focuses on energy conservation. Students will design a smart streetlight that automatically turns on at dusk and off at dawn.

The "smart" part comes from its ability to report its status (on/off/faulty) to a central dashboard, making maintenance more efficient.Β 

Materials Needed:Β 

  • NodeMCU or ArduinoΒ 
  • LDR (Light Dependent Resistor)Β 
  • High-power LED to simulate the streetlightΒ 
  • Relay module to control the LEDΒ 
  • A cloud platform for central monitoringΒ 

Getting started with the Project:

The LDR continuously measures the ambient light level. When the light level drops below a certain point (i.e., it gets dark), the microcontroller activates a relay, which turns on the LED streetlight.

When the sun rises and light levels increase, it turns the light off. Crucially, the NodeMCU also sends its status (current light level, ON/OFF state) to a central cloud dashboard.

This allows a city operator to see the status of all lights on a map and quickly identify any that are not working correctly.Β 

23. Comprehensive Environmental Monitoring StationΒ 

About the Project

This project expands on the basic weather station to create a holistic environmental monitoring unit. It combines sensors for air quality, water quality, and weather into one integrated system. It's an excellent capstone project that teaches students how to manage and visualize multiple complex data streams from a single, powerful device.Β 

Materials Needed:Β 

  • ESP32 or Raspberry Pi (for processing power)Β 
  • Air Quality Sensors (PM2.5, MQ-135)Β 
  • Weather Sensors (BME280Β for temp/humidity/pressure)Β 
  • Water Quality Sensor (TDS meter, pH sensor)Β 
  • GPS module for location taggingΒ 
  • A robust cloud platform like ThingsBoard for complex dashboardsΒ 

Getting started with the Project:

Students will interface a suite of sensors with their microcontroller. The system will be programmed to collect data from all sensors at regular intervals. The GPS module adds location data to each reading.

The ESP32 or Raspberry Pi then bundles this comprehensive data packet (e.g., timestamp, location, temperature, air quality, water TDS) and sends it to a cloud platform.

The final step is to build a detailed dashboard on ThingsBoard to visualize all the environmental parameters on maps and graphs, providing a complete environmental snapshot of a location.Β 

24. Face Recognition AI RobotΒ 

About the Project

Dive into the exciting world of Artificial Intelligence and Machine Learning with this advanced project. Students will build a "smart" system that can identify individuals, acting as a futuristic security guard for a door or a personalized greeter that recognizes and welcomes authorized users.

This project is at the cutting edge of tech seen in smart homes and secure facilities from Silicon Valley to Shenzhen.Β 

Materials Needed:Β 

  • Raspberry Pi (Model 3B+ or newer recommended)Β 
  • Raspberry Pi Camera ModuleΒ 
  • Servo motor or an electronic door lock relay moduleΒ 
  • LCD screen or speaker for output (optional)Β 
  • Power supply for Raspberry PiΒ 
  • Monitor, keyboard, and mouse for initial setupΒ 

Project Overview:

This project uses a Raspberry Pi and its camera module to capture a live video feed. Students will install and use the OpenCV library in Python to implement face detection and recognition algorithms.

The first step is to create a dataset of "known" faces by taking several pictures of authorized individuals. The program then compares faces seen in the video feed against this dataset.

If a recognized face is detected, the Raspberry Pi can trigger an action, such as sending a welcome message to an LCD screen, activating a servo motor to grant access, or playing a personalized audio greeting.Β 

25. IoT-Powered Smart Plant PotΒ 

About the Project

This project lets you build a personal botanist for your favorite houseplant. You will create a self-contained, smart plant pot that not only waters the plant automatically but also provides it with the right amount of light.

It's the perfect solution for busy professionals in urban apartments, from New York to Singapore, who want to enjoy indoor greenery without the constant worry of plant care.Β 

Materials Needed:Β 

  • ESP32 or NodeMCUΒ 
  • Capacitive Soil Moisture Sensor (more durable than resistive ones)Β 
  • 5V Mini Submersible Water Pump and tubingΒ 
  • Relay ModuleΒ 
  • A small water reservoir (a repurposed bottle or container)Β 
  • A grow light (a small LED panel or strip)Β 
  • A cloud dashboard like Blynk or ThingsBoardΒ 

Project Overview:

This smart home project turns a simple pot into an intelligent ecosystem. The capacitive soil moisture sensor is placed in the soil to monitor dryness.

When the moisture level drops below a set threshold, the ESP32 activates the relay, which turns on the mini water pump to water the plant for a few seconds.

Additionally, the relay controls a grow light on a timer (e.g., on for 12 hours, off for 12 hours) to ensure the plant gets consistent light. All dataβ€”soil moisture, water pump activity, and the light scheduleβ€”is sent to a cloud dashboard.

This allows the user to monitor their plant's health and environment from their phone, making it one of the most practical IoT activities for a modern home.Β 

ConclusionΒ 

These 25 creative IoT lab projects offer far more than just technical exercises; they are gateways to innovation for engineering students from London to Tokyo.

By building these systems, students transform theoretical knowledge into tangible skills, preparing them to solve real-world challenges.

Engaging in these hands-on IoT experiments equips aspiring engineers with the practical experience and creative confidence needed to become the technology leaders who will shape our increasingly connected world and drive progress in their local tech hubs.

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