Top 50 IoT Projects For all Levels in 2025 [With Source Code]

Have you ever wondered how a smartphone can unlock doors or how sensors in a town might reduce power usage? These are examples of the Internet of Things (IoT) at work, and you can tap into it to learn and grow. This guide offers 50 practical IoT projects that speak to the challenges you see around you, especially if you want to stand out in your studies.

Working on IoT project ideas can sharpen your programming, electronics, and problem-solving expertise. You will get hands-on experience with sensors, microcontrollers, and data that can be turned into useful insights.

You will see how easy it is to turn everyday devices into smarter, connected ones that help you build skills and confidence.

Top 50 IoT Projects With Source Code in a Glance

Whether you are stepping into IoT for the first time or aiming for a major capstone project for the final year, the table below has you covered. It presents 50 IoT project ideas for students at different skill levels, from beginner-friendly to advanced.

Each idea below highlights a specific use case so you can choose something that suits your abilities and sparks your interest.

Please Note: The source codes for these IoT projects are mentioned at the end of the blog.

Also Read: IoT: History, Present & Future

Top 16 IoT Projects for Beginners

The beginner-friendly IoT- based projects in this section focus on straightforward sensor work, simple microcontroller setups, and basic data gathering. They are designed to give you confidence with core IoT concepts without getting into overly complex steps. The aim is to help you learn how different devices interact and how to handle data in a way that feels accessible yet meaningful.

As you progress through these beginner-friendly IoT project topics, you will develop skills that form a strong base for more advanced projects:

• Understanding how sensors collect and relay information
• Programming basic microcontroller tasks
• Managing small-scale data in a logical, organized way
• Building practical circuits and troubleshooting minor issues
• Using simple connectivity methods for wireless control and monitoring

Let’s explore the projects in detail now.

1. Smart Parking System

Smart parking systems use sensors to detect empty spots so you can see available spaces in real time. In this project, you will arrange basic sensors around a model parking area and connect them to a microcontroller that processes occupancy data. 

You can then share this data over Wi-Fi so drivers know which spots are free. This hands-on approach helps you understand core IoT architecture and tasks from sensor reading to simple data handling. You will better understand how technology can be applied to everyday challenges.

What Will You Learn?

• Sensor Placement: You will figure out how to position sensors for reliable spot detection.
• Microcontroller Programming: You will code the logic that determines which spots are open.
• Basic Networking: You will connect your setup to a wireless module for live updates.
• Data Visualization: You will display real-time spot availability for easy viewing.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic programming knowledge (Arduino or similar)
• Understanding of simple electronic circuits
• Familiarity with Wi-Fi configuration
• Ability to troubleshoot sensor readings

Real-World Applications Of The Project

Also Read: How Does IoT Work? Top Applications of IoT

2. Air Pollution Monitoring System

Air pollution monitoring helps you check for harmful gases and tiny particles that affect the air around you. It’s one of those IoT-based projects where you will place sensors to gather data on factors such as carbon monoxide and dust levels. 

A microcontroller will handle and share these readings in real time through a simple display or connected device. You can track how the air quality changes over different times of the day or in various locations. This lets you see patterns and think about possible ways to respond to poor air conditions.

What Will You Learn?

• Sensor Calibration: You will learn how to set up sensors so they collect accurate data.
• Data Collection: You will record pollution readings over time for analysis.
• Basic Circuit Connections: You will connect multiple sensors to your microcontroller with minimal errors.
• Live Monitoring: You will display results on an LCD or in an app.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic sensor integration
• Simple data analysis
• Circuit wiring and troubleshooting
• Optional mobile or web development for real-time tracking

Real-World Applications Of The Project

Also Read: Future Scope of IoT: Applications of IoT in Top Industries

3. Health Monitoring System

A health monitoring system uses wearables or simple sensors to measure vitals such as heart rate or temperature. You will connect these sensors to a microcontroller that displays or sends data to an app. 

This project shows how small changes in the body's readings can reflect overall well-being. It is a direct way to combine basic electronics with a topic that genuinely impacts daily life.

What Will You Learn?

• Sensor Placement: You will decide the best spot for accurate vital readings.
• Data Logging: You will track sensor outputs over time for simple trend analysis.
• Alert Mechanisms: You can program triggers when a reading goes outside a normal range.
• Basic Device Interaction: You might display data on a screen or send it to a smartphone.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Sensor data interpretation
• Simple programming to handle real-time readings
• Elementary circuit design
• Basic threshold setting for alerts

Real-World Applications Of The Project

4. Home Automation System

A home automation system allows you to remotely manage appliances and lighting to save electricity and add convenience. It's one of those IoT project ideas for students where you will connect sensors, switches, and a microcontroller to turn devices on or off with a simple command.  

This setup can be as basic or advanced as you like, and it teaches you the basics of controlling everyday items in a smart way.

What Will You Learn?

• Device Control: You will write code to switch appliances on or off from a central point.
• Wireless Communication: You will connect your setup to Wi-Fi or Bluetooth.
• Smart Scheduling: You can set routines for lights or fans based on time or sensor data.
• Integration of Multiple Components: You will learn how different modules work together seamlessly.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Simple coding for microcontrollers
• Basic knowledge of wireless communication
• Understanding relay operation for appliance control
• Designing user-friendly interfaces

Real-World Applications Of The Project

Also Read: Difference Between IoT and AI: Which is Better?

5. Benefits of  a Weather Reporting System: A Study-based Project

This involves analyzing the value of real-time weather data for everyday life. You will learn what goes into setting up weather stations, even if you are not building one right away. The goal is to examine how local data about temperature, humidity, and rainfall can guide daily decisions and planning.

What Will You Learn?

• Value Of Accurate Weather Data: You will see why local measurements are more useful than generic forecasts.
• Potential Sensor Inputs: You will learn what types of sensors are typically used and how they contribute.
• Data Analysis Basics: You can think about how data over time paints a clearer picture of changing conditions.
• Importance Of Timely Alerts: You will see how early warnings can help in day-to-day planning.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Critical thinking about the role of data
• Basic research on weather sensor types
• Understanding data analysis for patterns
• Communication skills for presenting findings

Real-World Applications Of The Project

6. Weather Reporting System: Building/Simulating a Prototype

This is a hands-on project for building or simulating a basic weather station. You will place sensors to measure temperature, humidity, and rainfall, then feed the data into a microcontroller. The system can display results on an LCD or through a connected app. You will see how real-time weather insights help with planning and awareness.

What Will You Learn?

• Sensor Setup: You will attach temperature, humidity, and other sensors properly.
• Data Processing: You will convert raw sensor readings into meaningful values.
• Basic Display Techniques: You might use a small LCD or simple web interface.
• Alerts For Weather Changes: You can program simple thresholds that trigger a notification.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Wiring multiple sensors
• Basic programming for data capture
• Reading and displaying sensor outputs
• Building simple thresholds for alerts

Real-World Applications Of The Project

Also Read: 6 Best IoT Projects Using Arduino

7. Contactless Doorbell

A contactless doorbell helps visitors alert you without touching a button, which can improve hygiene and convenience. You will use a motion or infrared sensor linked to a microcontroller that triggers a chime whenever someone is close. 

It’s one of those IoT projects that involve simple wiring and coding to handle sensor readings and produce a buzz or notification. You can also add optional wireless modules to get alerts on your phone. This setup is a practical demonstration of touch-free interaction in everyday settings.

What Will You Learn?

• Sensor Activation: You will detect presence through motion or infrared sensors.
• Signal Transmission: You will program the microcontroller to trigger a buzzer or chime.
• Compact Design: You can figure out how to fit a sensor and board in a neat enclosure.
• Wireless Notification: You might send alerts to your phone as an added feature.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic sensor reading and calibration
• Simple microcontroller coding
• Elementary circuit design for audio output
• Optional wireless setup for push notifications

Real-World Applications Of The Project

8. Smart Gas Leakage Detector Bot

This project keeps indoor or small-scale industrial areas safe by identifying harmful or flammable gases. You will attach a gas sensor (MQ series or similar) to a microcontroller, which checks air composition and sets off an alarm if it detects high levels of gas. 

If you want a mobile version, you can build a wheeled bot that roams around to scan different spots. It’s a direct way to learn about timely hazard detection and alerts.

What Will You Learn?

• Sensor Calibration: You will adjust the sensor to pick up specific gas concentrations.
• Threshold-based Alerts: You will code triggers for when readings exceed safe levels.
• Movement (If Chosen): You may add wheels and motors if you want a roaming bot.
• Basic Safety Logic: You will see how prompt detection helps prevent bigger problems.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Familiarity with gas sensors
• Simple microcontroller coding
• Basic mechanical setup (if making a mobile bot)
• Alert system design

Real-World Applications Of The Project

9. Smart Cradle System

A smart cradle system helps parents or caregivers keep track of a baby’s comfort. You will place sensors to measure temperature, motion, or even sound. The cradle can be programmed to rock gently if the baby cries or to send alerts if it senses unusual movement. This offers a glimpse into how IoT can provide peace of mind.

What Will You Learn?

• Sensor Integration: You will read data from sound, motion, or temperature sensors.
• Response Logic: You can make the cradle rock automatically when the baby cries.
• Safety Features: You might add alerts if the baby’s position changes significantly.
• Simple Automation: You will see how motors and microcontrollers create convenient solutions.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic sensor reading and calibration
• Simple motor control programming
• Elementary safety considerations
• Optional wireless alert setup

Real-World Applications Of The Project

10. Streetlight Monitoring System

A street light monitoring system keeps track of when lights should be on or off and can even dim them when fewer people are around. You will use sensors that detect ambient light or motion, with a microcontroller to handle logic. This is one of those IoT projects that cut energy costs by reducing unnecessary lighting while maintaining safety at night.

What Will You Learn?

• Ambient Light Measurement: You will place light sensors that guide on/off times.
• Time-Based Control: You might add a clock module to power lights at specific hours.
• Motion Detection: You can enable full brightness only when people or vehicles pass by.
• Power Optimization: You will see how small logic changes save a lot of electricity.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Sensor data handling for ambient light
• Programming timed or conditional lighting schedules
• Relay setup for high-power LED or streetlight circuits
• Basic power management

Real-World Applications Of The Project

11. Flood Detection System

A flood detection system warns of rising water levels before they reach a critical point. You will set up sensors (float or ultrasonic) in areas prone to flooding. The microcontroller reads these levels and triggers an alarm or sends a message once the water crosses a defined threshold. This provides a head start on taking safety measures.

What Will You Learn?

• Water Level Sensing: You will select and calibrate sensors for accurate readings.
• Threshold Logic: You will program the system to alert you if levels get dangerously high.
• Design Considerations: You must protect electronics from possible water damage.
• Data Recording (optional): You could log water trends for patterns.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Understanding sensor selection for water detection
• Simple threshold-based coding
• Handling possible water exposure in electronics
• Optional remote notification setup

Real-World Applications Of The Project

12. IoT Water Pollution Monitor RC Boat

This idea revolves around a small remote-controlled boat fitted with sensors to check water quality. You will guide the boat around different parts of a lake or river, measuring pH, turbidity, and more. The microcontroller can send readings to a base station onshore. This lets you see real-time pollution data across varying spots rather than a single location.

What Will You Learn?

• Boat Design And Waterproofing: You will mount sensors on a platform that floats and moves.
• Sensor Data On The Go: You will understand how to stabilize readings as the boat changes position.
• Remote Control Basics: You will learn to drive the boat and simultaneously track sensor outputs.
• Data Transmission: You can choose to wirelessly relay data for immediate viewing.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic RC knowledge
• Sensor data collection in dynamic environments
• Microcontroller programming for real-time updates
• Simple mechanical assembly and waterproofing

Real-World Applications Of The Project

13. IoT-Based Motion Detector Using Cayenne

In this project, you use the Cayenne IoT platform to make motion detection fast and visible on an online dashboard. You will wire a motion sensor to a microcontroller that communicates with Cayenne. 

Whenever the sensor picks up movement, it sends data to the platform, where you can watch it live, create logs, or trigger messages. It’s a straightforward way to see IoT in action with minimal coding. 

What Will You Learn?

• Cayenne IoT Platform: You will discover its user-friendly interface and how to configure dashboards.
• Motion Sensor Wiring: You will integrate a PIR or similar sensor for detecting presence.
• Real-Time Data: You can observe activity logs or receive immediate alerts.
• Basic Cloud Integration: You will see how cloud-based tools simplify remote monitoring.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic sensor wiring
• Simple coding for data upload to Cayenne
• Setting up dashboards and triggers
• Optional alert mechanisms

Real-World Applications Of The Project

14. Liquid Level Monitoring System

A liquid level monitoring system keeps track of fluid height in a tank or container. You will mount a sensor (ultrasonic or float type) to detect when the liquid crosses certain thresholds. The microcontroller can trigger pumps or send an alert if levels get too high or too low. This helps manage water or other fluids more efficiently.

What Will You Learn?

• Sensor Selection: You will decide on float sensors or ultrasonic modules for accurate readings.
• Threshold Alerts: You can set the system to trigger alarms or pumps when levels are too high or low.
• Simple Automation: You might add auto-refill or drainage steps for hands-free management.
• Basic Data Logging: If you want, you can store readings for future reference.
• Preventive Maintenance: You will see how consistent monitoring avoids overflow or shortages.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Sensor calibration for different liquids
• Basic coding to manage thresholds
• Simple circuit design for alarms or pumps
• Optional real-time display or remote notification

Real-World Applications Of The Project

15. Smart Alarm Clock

This clock goes beyond a standard alarm. You will program it to check external data sources or sensor inputs so that you can incorporate temperature readings or small status updates. You can also connect it to online data sources or personal reminders so it can share quick updates when you wake up. 

The microcontroller handles timing as well as any added functionality you choose, such as voice prompts or scheduled tasks.

What Will You Learn?

• Timekeeping Functions: You will set a reliable clock using an RTC (Real-Time Clock) module or online sync.
• Sensor Integration: You may add temperature sensors to provide morning updates.
• Alarm Customization: You could change alarm times based on certain triggers.
• Simple User Interface: You might display data on an LCD or use a mobile app to modify settings.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Timekeeping with RTC or network sync
• Basic coding for alarms and sensor input
• Display interfacing for user-friendly information
• Optional Wi-Fi or Bluetooth for remote updates

Real-World Applications Of The Project

16. Gesture-Controlled Contactless Switch For Smart Home

This idea replaces normal switches with gestures. You will attach a gesture sensor to a microcontroller that sends signals to a relay or smart plug. Instead of pressing a physical switch, you’ll wave or move your hand in a specific way to turn devices on or off. It’s an easy introduction to how non-contact inputs can be used for home automation.

What Will You Learn?

• Gesture Sensor Calibration: You will learn how to detect specific hand movements.
• Signal Processing: You will transform sensor outputs into clear on/off commands.
• Appliance Control: You can integrate with a relay or smart plug.
• User-Friendly Interaction: You will see how easy gestures can be in a home setting.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic sensor reading for gesture detection
• Signal mapping to on/off commands
• Simple appliance control with relays
• Optional LED or display integration

Real-World Applications Of The Project

21 Intermediate-Level IoT-Based Projects

If you feel comfortable with simpler IoT project ideas for beginners and want to explore bigger challenges, these intermediate projects could be the next step. They usually involve more devices working together, extra sensors, or a wider range of features. 

This level helps you move beyond basic data collection so you can produce genuine solutions that cover real-life conditions more thoroughly.

You will connect multiple components, handle slightly larger sets of data, and work on smooth interactions across different modules. Below are some of the valuable skills you can refine in these intermediate-level IoT projects:

• Building Multi-Sensor Systems: You will learn to gather inputs from several sources at once.
• Integrating Advanced Microcontrollers: You will work with boards that support added features and performance.
• Data Handling And Basic Analysis: You will manage more detailed readings, sometimes in real time.
• Cloud Or Web Connectivity: You might push or pull data online for monitoring or control.
• Interface Development: You can design simple dashboards, mobile apps, or web pages for better user engagement.

Let’s explore the topics in detail now. 

17. Face Recognition Bot

Face recognition bots combine camera inputs, image processing, and microcontroller-based logic to identify individuals. It's one of the most innovative IoT project ideas for students, where you attach a camera module to a board and embed a recognition algorithm to spot known faces. 

The system might greet recognized individuals or trigger an alert for unknown ones. You will see how AI-driven tasks can handle everyday identification needs in real time.

What Will You Learn?

• Camera Handling: You will understand how to capture images or video for processing.
• Image Processing Basics: You will learn about filtering and feature extraction.
• Algorithm Integration: You will embed face recognition logic on a microcontroller or lightweight platform.
• Real-Time Alerts: You can program the bot to send notifications or prompts when faces match or don’t match.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic programming in Python or C++
• Understanding image processing libraries
• Ability to handle sensor inputs (camera)
• Simple debugging skills to manage frame rates and lighting conditions

Real-World Applications Of The Project

Also Read: Facial Recognition with Machine Learning: List of Steps Involved

18. Smart Agriculture System For Soil Monitoring

Smart agriculture often begins with soil health. In this project, you will place sensors that read moisture, pH, and temperature and then feed this data to a controller. That information helps you decide when to water or how to adjust nutrients. You will discover how targeted data can improve crop yields and reduce resource waste.

What Will You Learn?

• Sensor Placement: You will learn to position sensors at proper depths or spots for accurate readings.
• Data Thresholds: You will set triggers for irrigation or alerts when conditions shift.
• Power Efficiency: You can explore battery or solar options for remote farmland.
• Automated Feedback: You might open a valve or send a notification when soil moisture drops.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic sensor calibration
• Simple coding for reading and comparing data
• Elementary power planning for off-grid use
• Optional wireless setup for remote monitoring

Real-World Applications Of The Project

Also Read: Top Applications of IoT in Agriculture – Detailed Study

19. Smart Traffic Management System

A smart traffic management system uses sensors or cameras to gauge vehicle flow and adjusts signals accordingly. You will install detectors that count cars at intersections, then pass this data to a controller that decides how long each light stays green. By smoothing out the traffic flow, you minimize congestion and travel delays.

What Will You Learn?

• Data Collection: You will gather vehicle counts or speeds through sensors.
• Signal Control: You can automate how traffic lights change based on load.
• Real-Time Updates: You will learn how to make quick adjustments during peak hours.
• Wider City Planning: You may link multiple intersections for a coordinated approach.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Handling sensor or camera inputs
• Writing logic to adapt traffic signals dynamically
• Simple electronics for controlling LEDs and signals
• Basic communication setup if signals are spread out

Real-World Applications Of The Project

20. Night Patrol Robot

A night patrol robot roams around a designated path to keep watch in dimly lit or remote areas. It’s one of those IoT projects that allow you to mount sensors for detecting obstacles and maybe a camera to record its surroundings. The microcontroller will direct the robot’s movement, and you can customize routes or use motion alerts for added security.

What Will You Learn?

• Path Planning: You will program routes or use line-following sensors.
• Obstacle Avoidance: You will rely on ultrasonic or IR sensors to spot and steer around objects.
• Surveillance: You can add a camera or motion sensor to capture or detect activity.
• Autonomous Navigation: You will refine the robot’s ability to move with minimal user input.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic robotics know-how
• Sensor-based navigation logic
• Simple motor control setup
• Optional video streaming or image capture

Real-World Applications Of The Project

21. Waste Management Using IoT

This project revolves around tracking waste levels in bins or dumpsters to optimize collection. You will mount an ultrasonic sensor to gauge the bin's capacity and send data to a microcontroller. If the bin reaches a limit, an alert can be triggered for pickup. This approach prevents overflows and enhances efficiency in waste collection.

What Will You Learn?

• Sensor-Based Filling Detection: You will measure the garbage level using ultrasonic sensors.
• Threshold Alerts: You can set a fill level that triggers a pickup request.
• Data Recording: You might log how quickly bins fill up for future planning.
• Automated Communication: You could send notifications to collection teams or a main server.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Sensor calibration for varied bin sizes
• Simple coding for level checks
• Basic data management
• Optional connectivity for remote alerts

Real-World Applications Of The Project

22. Smart Garage Door

A smart garage door lets you open or close it remotely through your phone or a sensor-based trigger. You will use a motor mechanism connected to a microcontroller that receives commands over Wi-Fi or Bluetooth. This setup is not only convenient, but it also introduces security alerts if someone tries to open the garage without permission.

What Will You Learn?

• Motor Control: You will program motor drivers to lift or lower the door.
• Wireless Connection: You might use Wi-Fi or Bluetooth modules for remote operation.
• Security Checks: You can add sensors that detect if the door is forced open.
• Real-Time Notifications: You might receive alerts if the door is left open by mistake.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic motor driver integration
• Wireless communication setup
• Simple security logic for door sensors
• Quick troubleshooting for mechanical issues

Real-World Applications Of The Project

23. IoT-Based Smart Metering System For Utilities

This project tracks consumption of power, water, or gas in real time. You will set up sensors or meter readers and feed the data to a microcontroller that shares usage details. Users can view these details on a simple dashboard, prompting them to adjust habits for efficiency.

What Will You Learn?

• Data Collection: You will capture live consumption rates from utility meters.
• Usage Analysis: You can display daily or monthly trends.
• Alert System: You might warn users when usage is too high.
• Resource Optimization: You will see how real data can help reduce bills.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Familiarity with different meter sensor types
• Simple data management for usage logs
• Coding real-time updates or periodic logs
• Basic web or app interface design

Real-World Applications Of The Project

24. IoT-Based Smart Irrigation System For Agriculture

A smart irrigation system automates watering based on sensor data and scheduling. You will measure soil moisture, temperature, and possibly weather information to decide when to water crops. The microcontroller can then drive a water pump or valve to provide the right amount of moisture at the right time.

What Will You Learn?

• Sensor Coordination: You will combine different sensor inputs for better watering decisions.
• Pump Control: You will automate pump activation when the soil is dry.
• Scheduling Features: You might add timers or triggers based on weather updates.
• Resource Savings: You will see how precise watering cuts down on water waste.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic sensor usage for soil data
• Coding to compare moisture readings with thresholds
• Relay module setup for pump control
• Optional integration with weather data

Real-World Applications Of The Project

25. IoT-Based Fire Detection And Alert System

It’s one of those IoT projects that let you focus on early fire detection. You will link temperature and smoke sensors to a microcontroller that triggers an alarm or notification when readings pass safe limits. This can be installed in homes, offices, or storage units to catch fire hazards before they spread.

What Will You Learn?

• Sensor Thresholds: You will identify normal vs. dangerous ranges for temperature or smoke.
• Alert Mechanisms: You can activate buzzers, lights, or messages when a risk is detected.
• Real-Time Monitoring: You will see how continuous data updates help prevent major incidents.
• Optional Network Integration: You might send alerts to local authorities or building security.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Calibration of sensors for reliable readings
• Simple coding for threshold-based triggers
• Basic electronics for alarm outputs
• Optional wireless setup for real-time notifications

Real-World Applications Of The Project

26. Remote Plant Monitoring System

A remote plant monitoring system allows you to track the health of indoor or outdoor plants without being physically there. You will measure factors such as soil moisture, light intensity, or temperature and then transmit that data to an app or web dashboard. This helps you decide whether the plant needs water, more light, or a change in temperature.

What Will You Learn?

• Multi-Sensor Setup: You might combine soil, light, and temperature sensors for detailed info.
• Connectivity: You can use Wi-Fi or a mobile network to send updates.
• Condition Alerts: You could set triggers for watering if moisture drops below a set level.
• Dashboard Visualization: You may graph plant data over time to see trends.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Sensor calibration for moisture and light
• Wireless data setup
• Basic data logging for trends
• Simple user interface design

Real-World Applications Of The Project

27. Home Energy Management System

This system oversees your household’s electricity usage by connecting to smart plugs or directly reading power consumption. It’s one of those IoT project ideas for students where you will collect data on which devices are turned on, how much power they draw, and when they use the most energy. The microcontroller can then provide suggestions or automated actions to reduce consumption.

What Will You Learn?

• Power Monitoring: You will measure or estimate wattage from different devices.
• Data Analysis: You can chart usage spikes to understand peak hours.
• Smart Controls: You might turn off devices when they are not needed.
• User Feedback: You will provide alerts or tips for saving power.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Sensor calibration for accurate power measurement
• Coding to log and analyze consumption patterns
• Basic electronics for controlling devices
• Optional remote interface or alerts

Real-World Applications Of The Project

28. IoT-Based Smart Lighting System For Homes

This is one of the best IoT projects that use sensors or scheduling to control indoor lights. You might measure motion, ambient light, or time of day, then adjust lamps accordingly. It can automate dimming or switch off lights when a room is empty. This blend of comfort and efficiency stands out for household use.

What Will You Learn?

• Motion-Based Control: You will detect presence and switch lights on only when needed.
• Ambient Light Sensing: Depending on natural sunlight, you will dim or brighten lights.
• Scheduling Features: You can set timed routines for bedtime or morning.
• Energy Saving: You will see how small adjustments lead to reduced bills.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Sensor integration for motion and light
• Basic event-driven programming
• Simple wiring for LED or bulb drivers
• Optional app setup for wireless controls

Real-World Applications Of The Project

29. Smart Refrigerator With IoT-Based Inventory Management

A smart refrigerator monitors what items you have and when they might run low or expire. You can attach weight sensors or RFID tags to track food usage. The microcontroller gathers this information and sends alerts or maintains a shopping list you can view on your phone.

What Will You Learn?

• Item Tracking: You will find ways to identify how much of each item is left.
• Data Logging: You can record usage over days or weeks.
• Expiration Reminders: You might code in best-before dates to alert you before spoilage.
• Remote Access: You will see how to view fridge contents from anywhere.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Working with weight or RFID sensors
• Handling data storage and retrieval
• Simple coding for expiration alerts
• App or web interface creation for remote viewing

Real-World Applications Of The Project

30. Home Security System With IoT-Based Cameras

This system adds a layer of protection to homes by streaming live camera feeds and notifying you about any suspicious activity. You will connect one or more cameras to a microcontroller and link them to a local or cloud network. The goal is to keep tabs on different angles of your house and receive real-time alerts if something moves unexpectedly.

What Will You Learn?

• Camera Integration: You will capture live video streams for security checks.
• Motion Detection: You can code a basic system that flags changes in the camera’s view.
• Remote Monitoring: You might view feeds on a smartphone or web interface.
• Instant Alerts: You can push notifications for quick action.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Camera setup and real-time streaming
• Simple motion detection code
• Basic network or cloud connectivity
• Alert mechanisms through push notifications

Real-World Applications Of The Project

31. Greenhouse Monitoring System

A greenhouse monitoring system keeps an eye on temperature, humidity, and light levels inside a controlled growing area. It’s one of those IoT-based projects where you will configure sensors that feed data to a microcontroller, which can adjust ventilation or misting systems accordingly. This helps maintain conditions that encourage plant growth and health.

What Will You Learn?

• Environmental Sensing: You will measure key factors like humidity and light inside the greenhouse.
• Control Logic: You may open vents or run a fan to regulate temperature.
• Data Logging: You might record conditions over time for analysis.
• Automated Alerts: You can set triggers for sudden changes that could harm plants.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic environment sensor usage
• Coding to manage fans or vents
• Data logging for ongoing observation
• Optional remote monitoring for immediate action

Real-World Applications Of The Project

32. Environmental Data Logger

An environmental data logger gathers readings on temperature, humidity, pressure, or other variables over time. You will connect multiple sensors to a microcontroller that records data on an SD card or sends it to the cloud. This gives you a detailed timeline of how conditions change, which is useful for research or long-term analysis.

What Will You Learn?

• Multi-Sensor Integration: You will read multiple environmental parameters at once.
• Data Storage: You can save data locally or upload it to a remote server.
• Time-Stamping: You might attach a clock module to label each measurement precisely.
• Long-Term Observations: You will see how patterns emerge over days or weeks.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Handling multiple sensor inputs
• Basic data formatting for logs
• Memory management (SD card usage)
• Optional cloud connectivity

Real-World Applications Of The Project

33. School Water Monitoring System Using IoT

A school water monitoring system tracks the usage and quality of water on a campus. You might measure flow rates, water level in overhead tanks, or even basic contamination indicators. By bringing this data onto a central display or app, the administration can ensure stable supply and catch leaks or unusual consumption patterns.

What Will You Learn?

• Flow Rate Detection: You can see how much water is used daily or weekly.
• Leak Identification: You might spot sudden spikes that suggest a broken pipe.
• Tank Levels: You will record how quickly tanks empty or refill.
• Data Sharing: You can display usage trends to raise awareness among students.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Sensor calibration for water usage
• Simple data logging
• Basic programming for thresholds or alerts
• Optional remote viewing platform

Real-World Applications Of The Project

34. IoT Based Smart Arm

A smart arm often refers to a robotic limb controlled by microcontrollers and sensors. You might build a small model that moves joints or grips objects based on commands from an app or pre-set actions. This opens the door to automated tasks, especially if you add sensors for feedback.

What Will You Learn?

• Mechanical Design Basics: You will explore how servo motors can create movement like a human arm.
• Signal Handling: You can use sensors or input commands to guide arm positions.
• Precision Control: You might focus on smooth or accurate motion for tasks like picking up items.
• Potential Automation: You can integrate a camera or pressure sensor for more advanced control.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic robotics and mechanical setup
• Servo motor programming and calibration
• Control logic for sequential or simultaneous joint movement
• Optional feedback loop design

Real-World Applications Of The Project

35. IoT Weather Station Airship

This is one of those IoT project ideas for students that involve creating a small drone or blimp that carries weather sensors. You will gather temperature, pressure, or humidity data at different altitudes. The microcontroller streams these readings to a ground station, showing how conditions change above ground level.

What Will You Learn?

• Flight Basics: You will handle a drone or lightweight airship mechanism.
• Sensor Integration: You can attach multiple weather sensors for real-time data.
• Wireless Data Transmission: You will send readings to a base station while airborne.
• Aerial Monitoring: You will see how conditions differ at various altitudes or locations.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic drone or blimp handling
• Sensor calibration for airborne readings
• Wireless data streaming in motion
• Simple data interpretation for altitude-based conditions

Real-World Applications Of The Project

36. Smart Mirror

A smart mirror is a reflective surface that displays extra information such as the time, weather updates, or notifications. You will integrate a screen behind a two-way mirror and connect it to a microcontroller or mini-computer. It can show personalized data while still letting you use it as a normal mirror.

What Will You Learn?

• Two-Way Mirror Setup: You will see how to place a display so it stays visible under the mirror’s surface.
• Data Integration: You can pull weather, news, or calendar info from the internet.
• Simple UI Design: You will decide how to present data in a clean, minimal format.
• Voice Or Touch Controls (optional): You could add features that let you change what you see.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic web data fetching
• Simple display programming
• Understanding two-way mirror placement
• Optional voice or motion interactions

Real-World Applications Of The Project

37. Smart Money Transfer

A smart money transfer project combines microcontrollers, possible card readers, and secure connections to complete simple payments. You might enable contactless NFC or a short-range radio link to send payment details. The goal is to streamline how transactions happen on a small scale, like a campus or local store.

What Will You Learn?

• Secure Data Handling: You will store or transfer sensitive payment details with caution.
• Short-Range Wireless: You might use NFC or Bluetooth to validate transactions instantly.
• User Authentication: You can add PINs or biometric checks for added safety.
• Real-Time Balance Updates: You will manage transaction logs and possibly connect them to an online account.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Coding secure data exchange
• Familiarity with wireless modules (NFC, Bluetooth)
• Simple user authentication methods
• Basic database or file handling for transaction logs

Real-World Applications Of The Project

Also Read: Top 15 IoT Examples in Real-Life You Should Know

13 Advanced IoT Projects for Final-Year Students 

These advanced IoT-based projects will push you to handle multiple data sources and more complex hardware. They often include sophisticated automation, real-time analytics, and the kind of depth that aligns with final-year requirements. Each project in this section can set you apart by letting you prove you can manage both scale and detail effectively.

Below are the skills you can strengthen through the IoT projects for final-year students listed in this section:

• Complex Sensor Integration: You will combine various inputs across larger environments.
• Higher-Level Data Processing: You might incorporate AI or machine learning for deeper insights.
• Extended Hardware Knowledge: You will learn about specialized boards and more advanced peripherals.
• Enhanced Security Measures: You will see why safety and encryption matter even more at this level.
• Project Management: You can plan tasks, delegate roles (if working in a group), and handle deadlines.

Let’s get going with the projects now.

38. Virtual Doctor Robot

You will create a robot that assists in basic health checks, offering remote interaction with a doctor or an AI-driven diagnostic system. Depending on how you envision patient engagement, you might mount sensors for temperature, pulse, or blood pressure and program the robot to roam or stay in one spot.  

Through this, you will see how robotics, communication modules, and medical sensors can work together. You will also learn how to transmit essential health data to a cloud server or healthcare professional in real time. It’s one of those IoT projects that push you to balance safety, accuracy, and smooth user interaction.

What Will You Learn?

• Remote Patient Interaction: You will set up a robot that gathers simple health data.
• Sensor Fusion: You might combine temperature, pulse, or other vital sensors in one platform.
• Data Forwarding: You can transmit readings to doctors for consultation.
• Robot Locomotion: You will manage basic movement if the robot is mobile.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Proficiency in sensor calibration for accurate vital data
• Basic robotics (if implementing movement)
• Wireless communication setup for real-time interaction
• Simple safety protocols for handling health-related data

Real-World Applications Of The Project

Also Read: Artificial Intelligence in Healthcare: 6 Exciting Applications in 2024

39. Agricultural Drones

Here, you will build or adapt a drone for field tasks like monitoring crop health, spraying fertilizers, or capturing images for analysis. This involves setting up cameras or sensors on the drone, plus writing the code that lets you collect data or automate certain flight patterns. 

The goal is to make farming more efficient by checking large areas quickly and acting on sensor information. You will learn about stabilization, GPS guidance, and how to interpret the images or data you capture. Integrating this with a ground station or a mobile interface can complete the detection and response cycle.

What Will You Learn?

• Flight Control: You will configure or tweak flight parameters for steady operation.
• Imaging And Analysis: You might capture NDVI or regular images for crop health.
• Autonomous Routines: You can set up predefined flight paths for consistent data collection.
• Data Transfer: You will send information to a ground station for real-time or offline processing.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic drone assembly or modification
• Sensor or camera integration for data capture
• Flight path planning and GPS usage
• Processing agricultural images or sensor readings

Real-World Applications Of The Project

40. IoT In Disaster Management

This is one of those IoT projects for final-year students that show you how to track and respond to potential disasters like earthquakes, floods, or landslides using sensors and communication networks. 

In key areas, you might install seismometers, water-level detectors, or weather instruments. The data flows into your server or cloud platform, where a warning system can activate if thresholds get too high. This helps you observe events in near real time and send alerts to individuals or emergency teams. 

You will also learn how quick data sharing can be crucial when every minute matters.

What Will You Learn?

• Multi-Sensor Deployment: You will select or install sensors that detect different disaster signals.
• Threshold Alarms: You can configure alerts when parameters cross safe levels.
• Reliable Connectivity: You might rely on low-power networks or GSM modules for remote areas.
• Mapping And Visualization: You will present data for clarity so responders can act quickly.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Designing sensor networks in tough conditions
• Handling intermittent power and connectivity
• Programming alarm triggers
• Basic data visualization to highlight urgent alerts

Real-World Applications Of The Project

41. Mining Worker Safety Helmet

In this project, you will outfit a mining helmet with sensors to detect gases, track temperature, or measure sudden impacts. The data is sent to a surface-level station or a control center, where operators can monitor the well-being of those underground. 

You can add real-time alerts if conditions go beyond safe limits. This reduces risks by letting workers know when they need to move away from dangerous spots. You will see how electronics function in harsh, enclosed environments and learn how to prioritize user safety.

What Will You Learn?

• Gas And Temperature Sensing: You can pick sensors for carbon monoxide or high heat.
• Wireless Communication: You might use short-range signals or specialized underground systems.
• Alert Systems: You will code warnings for both the worker and the central station.
• Durable Mounting: You will find ways to place sensors safely on a helmet.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Sensor calibration for hazardous gases
• Wireless communication in challenging conditions
• Basic mechanical design to secure sensors on a helmet
• Real-time alert programming

Real-World Applications Of The Project

42. Heart Rate And SpO2 Monitoring System

You will create a device that tracks a person’s heart rate and oxygen saturation levels in real time. These vital signs are crucial for assessing overall health or response to exercise. 

You might use a pulse oximeter sensor that clips onto a finger, then feeds the readings to a display or mobile app. This project highlights how small wearable devices can share important metrics for day-to-day wellness or special medical conditions. You will learn the basics of handling biometric data and the steps to keep it secure.

What Will You Learn?

• Pulse Oximeter Sensor Usage: You will accurately read heart rate and oxygen levels.
• Data Processing: You can smooth out noisy readings for reliable results.
• Alarm Functions: You can set thresholds for alerts if levels drop.
• Secure Data Handling: You will see why privacy is vital when dealing with health data.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Working with biometrics sensors
• Filtering and interpreting physiological data
• Optional wireless integration to store or track changes
• Simple design for user comfort if making it wearable

Real-World Applications Of The Project

43. IoT-Based ECG Monitoring System

It's one of the most advanced IoT projects for final-year students, where you design a system that measures the heart's electrical activity through ECG electrodes and then processes and shares that data for analysis. This involves working with a more sophisticated sensor module to capture heart signals accurately. 

You can store the results locally or stream them to a doctor for real-time feedback. Handling ECG data is a chance to explore signal processing methods, plus the hardware considerations needed for precise measurements. It is a more involved approach to health tracking that can offer life-saving insights.

What Will You Learn?

• ECG Electrode Configuration: You will position electrodes to get consistent waveforms.
• Signal Processing: You will handle filtering and noise reduction of the electrical signals.
• Secure Data Transfer: You can encrypt or protect patient data.
• Real-Time Visualization: You may show ECG waveforms on a screen or online.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Understanding ECG basics and electrode placement
• Signal filtering and data smoothing
• Data privacy considerations for medical info
• Coding real-time displays or alerts

Real-World Applications Of The Project

44. Smart Thermometer For Disease Prediction

This project idea lets you create a thermometer that collects repeated temperature readings and looks for patterns that might suggest an illness. You will set up a temperature sensor, code rules to flag sudden spikes, and possibly link it to a mobile app. If the device notices a sustained temperature rise, it alerts you or a caregiver. 

This encourages proactive steps rather than waiting for severe symptoms. You will refine thresholds and possibly add other features like humidity checks or symptom logging.

What Will You Learn?

• Accurate Temperature Sensing: You will choose a sensor that delivers quick, stable results.
• Basic Data Logging: You might store daily readings for trend analysis.
• Alarm Configuration: You can define how big a jump in temperature requires action.
• Connected App: You may add a phone interface for quick updates.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Sensor calibration for body temperature
• Threshold-based alert programming
• Data interpretation to detect unusual patterns
• Possible app or interface development

Real-World Applications Of The Project

45. IoT-Based Medical Alert System For Elderly People

You will build a wearable or small home unit that alerts family or healthcare providers when an older person needs help. This might involve a panic button or automatic fall detection using accelerometers. The system sends a prompt message to chosen contacts, along with the user’s location if you add GPS. 

You will see how consistent connectivity can bring peace of mind for people living alone. It underlines the role of user-friendly design so that even those who are not tech-savvy can rely on it.

What Will You Learn?

• Accelerometer Integration: You may detect sudden movements or falls.
• Emergency Triggers: You can program easy-to-use alerts, like a single button press.
• Location Sharing: You might include GPS to direct help to the right spot.
• User-Centered Design: You will focus on simplicity for an elderly audience.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Understanding motion sensor data and thresholds
• Messaging or call setup via GSM or the internet
• Simple enclosure or wearable design
• Basic user interface for quick setup

Real-World Applications Of The Project

46. Smart Pill Dispenser System

This advanced IoT project tackles the challenge of organizing medications. You will design a dispenser with compartments for daily or weekly pills connected to a microcontroller. When it is time for a dose, the system can open the right compartment or release pills automatically. 

It can also notify the user on a phone or speaker. This addresses common mistakes in dosage and timing. You will see how precise timing and user prompts can reduce errors in healthcare routines.

What Will You Learn?

• Automatic Dispensing: You will design a simple mechanism to release the right pills at the right time.
• Scheduling And Alarms: You can code reminders that match each compartment’s schedule.
• Physical Design: You may build or adapt a box that houses compartments securely.
• Optional Connectivity: You might send missed-dose alerts to caregivers or family members.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Simple mechanical design for pill compartments
• Timed control logic to release medication
• Basic user interface for scheduling dose times
• Optional network features for caregiver alerts

Real-World Applications Of The Project

47. Patient Tracking System in Hospitals

You will build a system that uses RFID tags or wearable devices to record a patient’s movement within a hospital. Each time they pass through a checkpoint or ward, the system updates their location and possibly their status. This helps doctors and staff know where patients are and reduces confusion during busy hours. 

You will also learn about large-scale asset tracking and how the data can be relayed to an administration dashboard in real time.

What Will You Learn?

• RFID Or Wearable Tech: You will manage quick identification of many patients.
• Real-Time Location Tracking: You can log movements across wards or floors.
• Centralized Database: You might store patient IDs, time stamps, and location updates.
• Staff Alerts: You can highlight if a patient enters a restricted area or needs attention.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic RFID setup and calibration
• Data logging and database management
• Real-time UI or dashboard design
• Network configuration for multiple readers

Real-World Applications Of The Project

48. Smart Door Lock System

Here, you will create a lock that can be controlled by a PIN, RFID, or even a mobile app. This takes typical home security to another level by logging who enters and when. The microcontroller oversees each unlock event and can communicate status updates to your phone. 

You might add features like a camera snapshot when the door opens or an alert if forced entry is detected. It highlights how to bring convenience and security together with simple electronics and code.

What Will You Learn?

• Door Lock Mechanism: You will control servo or solenoid locks based on user input.
• User Authentication: You can integrate RFID, keypads, or phone-based approvals.
• Alert Generation: You can trigger messages if suspicious activity is detected.
• Access Logging: You may store each unlock event for later review.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic lock mechanism integration
• Simple authentication flows (RFID, PIN, or app-based)
• Wireless communication for alerts or logs
• Data storage for entry history

Real-World Applications Of The Project

49. Smart Wheelchair

It’s one of the most advanced IoT projects for final-year students. Here, you will design a wheelchair with sensors or smart controls to help the user navigate more easily. This could involve joystick inputs, obstacle detection, or even voice commands. 

The system can share status updates like battery life or location if you add a GPS module. It is a valuable build highlighting how technology can improve the daily lives of those with mobility challenges. You will also get experience creating user-friendly interfaces for accessibility.

What Will You Learn?

• Motor And Wheel Control: You will manage speed, steering, and safe braking.
• Obstacle Avoidance: You might mount ultrasonic sensors to detect objects ahead.
• User Input Variety: You can experiment with joystick, voice, or button inputs.
• Status Reporting: You might log usage or location in an app for caregivers.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Basic robotics and motor control
• Sensor coding for obstacle avoidance
• Possibly advanced inputs like voice or gesture
• Power management for longer wheelchair battery life

Real-World Applications Of The Project

50. Integrating Quantum Computing In IoT Systems

In this ambitious project, you will think about connecting IoT networks to quantum resources for more advanced data processing or encryption. While you may not build a full quantum computer, you will design a prototype or model that explains how quantum computing algorithms might handle sensor data more swiftly.

This project points to the future of computing, as quantum approaches can dramatically change how data is sent, analyzed, or secured. You will focus on architecture design, conceptual integration, and possibly run small tests on quantum simulators.

What Will You Learn?

• Quantum Concepts: You will explore qubits and basic quantum principles.
• Hybrid Architecture: You will plan how IoT devices might send data to quantum backends.
• Advanced Encryption: You can look at quantum-safe techniques to protect IoT data.
• Simulation And Testing: You might use a quantum simulator for small-scale demonstrations.

Tech Stack And Tools Needed For The Project

Skills Needed To Execute The Project

• Familiarity with IoT sensors and microcontrollers
• Foundational understanding of quantum computing principles
• Ability to use or study quantum simulators
• Network planning for bridging classical and quantum systems

Real-World Applications Of The Project

How to Choose the Right IoT Projects?

Selecting the right IoT project can bridge the gap between theory and hands-on experience. It often depends on your coding background, comfort with basic electronics, and the types of challenges that catch your attention. 

You might look at everyday problems in your area, such as water supply issues in your hostel or traffic concerns near your college, and see how you can apply an IoT-based solution.

Below are a few pointers to guide you in choosing a project that suits your time and goals:

• Assess Your Skills: Be honest about what you can handle right now. If you are new to coding, start with simpler microcontrollers and basic sensors before moving into advanced areas.
• Think About Your Budget: Plan how much you can spend on modules, boards, and sensors. You don’t want to run out of funds before your prototype is ready.
• Pick Practical Problems: Focus on a real need around you. A project that solves a local issue will more likely keep you motivated and teach you something useful.
• Plan Resources: Check if you have the necessary tools, modules, and components. A well-planned budget helps you avoid setbacks in the middle of development.
• Plan For Growth: If you find extra time or resources, add features like better data analysis or a mobile app. That way, your project can expand rather than stay stuck in an early phase.
• Set Clear Goals: Write down what your project must achieve — like improved accuracy, better speed, or a user-friendly interface — so you know when you have succeeded.
• Seek Early Feedback: Share your rough prototypes or ideas with friends or mentors. Their input might save you time and help you make your solution stronger.

How Can upGrad Help You?

If you’re looking to build a career in Internet of Things (IoT) or any related field, upGrad offers a variety of courses that can help you gain relevant skills and knowledge. By taking these courses, you’ll learn about IoT and other related technologies that will set you up for success in your career.

To help you take the next step, here’s a list of some relevant – and free – courses that align with the skills needed for IoT projects and development:

• Programming with Python: Introduction for Beginners
• Fundamentals of Cloud Computing
• Fundamentals of Cybersecurity
• Data Science in E-commerce

Want personalized career guidance? Consider upGrad’s free career counseling services. Get your queries answered by experts!

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Reference Links:
https://github.com/aaryaapg/Smart-Parking
https://github.com/bairwa25/air_quality
https://github.com/PiyushRaj714/IoT-based-health-monitoring-system
https://github.com/abhijain2472/IoT-Smart-Home-Automation
https://github.com/asterisk-ragavan/IoT-Based-Weather-Reporting-System
https://github.com/yeokm1/sp-iot-doorbell
https://github.com/avimagar/Smart-Gas-Leak-Detector
https://github.com/sach1027/IOT-Based-Smart-Cradle-using-ESP8266
https://github.com/MSudharsh110305/Street-Light-Fault-Detection/
https://github.com/roycuadra/IoT-based-flood-detection-system
https://github.com/fariaislam04/Water-Pollution-Monitoring-and-Floating-Waste-Collection-Boat
https://github.com/vinitshahdeo/Water-Monitoring-System
https://github.com/fgebhart/smart_alarm
https://github.com/BowenBZ/IoT_Face_Recognition_System
https://github.com/ankitsagar/Smart-Agriculture
https://github.com/codefeeder/Smart-Traffic-Management-System
https://github.com/RakshanaG/Night-Patrolling-Robot
https://github.com/sm2312/Smart-Waste-Management-System
https://github.com/curtbraz/IoT-Garage-Door
https://github.com/Abhirambs-08/IOT-Based-Smart-Energy-Meter-BEC
https://github.com/kamal153/IoT-based-Smart-Irrigation-System-using-Soil-Moisture-Sensor-and-ESP8266-NodeMCU
https://github.com/Prathamesh2199/Fire-Detection-And-Alert-System
https://github.com/kshreyashreee/le_gardien
https://github.com/Abhishek0697/IoT_Refrigerator
https://github.com/PramodPatilGS/Smart-Greenhouse-Monitoring-System-Based-On-IOT
https://github.com/edwbaker/environment-data-logger
https://github.com/Sathursan-S/sArm
https://github.com/SmartAgriculture-Project/Smart-Agriculture
https://github.com/Prabhudatta3004/Disaster-management-using-IOT-ML-SOLUTION/blob/Python/README.md
https://github.com/PiyushRaj714/IoT-smart-helmet-for-mining-workers
https://github.com/kershrita/Heart-Rate-and-SpO2-measurement
https://github.com/PiyushRaj714/IoT-based-ECG-Heartratemonitoring-system
https://github.com/14BCE0298/IOT-based-Health-Monitoring-System-for-Elderly
https://github.com/anooj-shah/Smart-Pill-Dispenser
https://github.com/RohitSingirikonda/Patient-and-Doctor-and-equipment-tracking-in-hospitals-Using-RFID
https://github.com/raunakmallick18/IOT_Major_Project
https://github.com/hemanth-sunkireddy/IoT_Project