Internet of Things (IoT) and Embedded Systems Internship Program
in EC & EEEAbout this course
Internet of Things (IoT) & Embedded Systems Internship Program: 6-Week Structured Learning and Experience
Introduction
The Internet of Things (IoT) and Embedded Systems play a crucial role in modern automation, smart devices, and real-time data processing. This internship program provides hands-on experience with microcontrollers, sensors, cloud platforms, IoT security, and automation. Participants will work with Arduino, ESP8266, Raspberry Pi, cloud services, and communication protocols to develop practical IoT applications.
This program is designed for aspiring embedded engineers, IoT developers, and technology enthusiasts looking to gain practical knowledge in IoT-based systems. The course concludes with a Smart City Concept IoT Project as a capstone experience.
Program Highlights
Week 1: Introduction to IoT & Embedded Systems
· Fundamentals of IoT & Embedded Systems: Research and write a report on IoT architecture, components, and real-world applications.
o Outcome: A 500-word report explaining IoT architecture, components, and applications.
· Setting Up an Arduino Board: Install the Arduino IDE and write a basic LED blinking program.
o Outcome: A successfully uploaded Arduino sketch that blinks an LED.
· Understanding Microcontrollers: Compare different microcontrollers (Arduino, ESP8266, Raspberry Pi) and analyze their uses.
o Outcome: A comparison table highlighting specifications, features, and applications.
Week 2: Sensors, Actuators, and IoT Communication
· Sensor Integration with Arduino: Interface a temperature sensor (DHT11) with Arduino and display readings on the serial monitor.
o Outcome: Real-time temperature and humidity readings displayed on the serial monitor.
· Working with Actuators: Control a servo motor using an Arduino and a potentiometer.
o Outcome: A working setup where the servo moves based on potentiometer input.
· IoT Communication Protocols: Research and compare MQTT, HTTP, and CoAP protocols used in IoT.
o Outcome: A summarized report highlighting the advantages and use cases of each protocol.
Week 3: IoT Connectivity and Cloud Integration
· Building a Smart LED System: Develop a system to control LEDs via a smartphone using Bluetooth (HC-05 module).
o Outcome: A functional Bluetooth-controlled LED system.
· Cloud Connectivity in IoT: Connect an ESP8266 to a cloud platform (Thingspeak/Blynk) and upload sensor data.
o Outcome: Live sensor data updates visible on the chosen cloud platform.
· IoT-Based Home Automation: Create a simple IoT home automation system to control appliances via Wi-Fi.
o Outcome: A system where a user can turn on/off an LED (representing a home appliance) using a web interface.
Week 4: IoT Tracking, Data Logging, and Dashboards
· GPS & IoT Tracking System: Interface a GPS module with Arduino and display location coordinates.
o Outcome: Real-time GPS data displayed on the serial monitor.
· Data Logging in IoT: Store sensor data on an SD card using an Arduino.
o Outcome: A text file with logged sensor readings stored on the SD card.
· Creating an IoT Dashboard: Design a simple IoT dashboard using Node-RED for real-time sensor monitoring.
o Outcome: A working dashboard displaying live sensor data in graphical format.
Week 5: IoT Security, Automation, and Smart Applications
· Security in IoT Systems: Research common security threats in IoT and propose solutions.
o Outcome: A detailed report listing vulnerabilities and mitigation strategies.
· Controlling IoT Devices via MQTT: Set up an MQTT broker and control an LED using MQTT messages.
o Outcome: A successful LED on/off control using an MQTT client.
· RFID-Based Access Control System: Develop an RFID system for authentication and display access status on an LCD.
o Outcome: An RFID-based system that grants or denies access based on authorized cards.
Week 6: Advanced IoT Applications & Final Project
· Building an IoT Weather Station: Collect weather parameters (temperature, humidity, pressure) and display them online.
o Outcome: A web dashboard displaying real-time weather data.
· Energy Monitoring System: Use a current sensor (ACS712) to measure power consumption of a device.
o Outcome: A real-time power monitoring system displaying consumption data.
· Smart Irrigation System: Automate plant watering based on soil moisture levels using IoT.
o Outcome: A working system that activates a water pump when soil moisture is low.
· IoT-Based Health Monitoring System: Measure heart rate using a pulse sensor and send data to a mobile app.
o Outcome: Live heart rate readings displayed on a smartphone.
Final Project: Smart City Concept
· Task: Develop an IoT-based smart city application (e.g., smart street lights, waste management).
o Outcome: A prototype demonstrating one or more smart city features.
Expected Outcomes
By the end of this internship, participants will:
· Understand IoT architecture, components, and microcontroller-based systems.
· Interface sensors and actuators with Arduino and ESP8266.
· Implement IoT communication protocols like MQTT and HTTP.
· Develop cloud-integrated IoT applications with real-time monitoring.
· Secure IoT applications by addressing common vulnerabilities.
· Work with data logging, dashboards, and automation systems.
· Build a Smart City Concept prototype as a final project.
Requirements
Laptop
Internet Connection
Arduino
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To understand the fundamental concepts of IoT and Embedded Systems, including their architecture, key components, and real-world applications.
To familiarize students with Arduino by installing the required software and writing a simple LED blinking program.
To analyze different microcontrollers and understand their specifications, functionalities, and applications.
To learn how to interface a DHT11 temperature and humidity sensor with an Arduino and display real-time readings.
To understand how actuators work by controlling a servo motor using an Arduino and a potentiometer.
To understand and compare different IoT communication protocols, including MQTT, HTTP, and CoAP, by analyzing their advantages and applications.
To develop a Bluetooth-controlled LED system that allows users to turn LEDs on/off using a smartphone via an HC-05 Bluetooth module.
To learn how to connect an IoT device (ESP8266 Wi-Fi module) to a cloud platform (ThingSpeak or Blynk) and upload sensor data.
To create a simple IoT home automation system where users can control appliances using a web interface over Wi-Fi.
To interface a GPS module with Arduino and display live location coordinates on the serial monitor.
To store sensor readings on an SD card using an Arduino and an SD card module for offline data logging.
To build a real-time IoT dashboard using Node-RED to visualize sensor data.
To understand security threats in IoT and propose solutions to protect IoT devices and data.
To set up an MQTT broker and control an LED using MQTT messages.
To develop an RFID-based authentication system where access is granted or denied based on authorized cards.
To create a real-time weather station that collects temperature, humidity, and pressure data and displays it on a web dashboard.
To build a real-time power consumption monitoring system using an ACS712 current sensor.
To automate plant watering using an IoT-based soil moisture detection system.
To measure heart rate using a pulse sensor and send real-time data to a mobile app.
To develop an IoT-based smart city prototype demonstrating smart features like smart street lights, waste management, or traffic monitoring.
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