Need to write article 700-1100 words. Provide heading structure. Use markdown. Avoid banned phrases. Use third-person. Ensure no h1. Let's craft.The project Mikrodenetleyici‑ve‑nesnelerin‑interneti‑IOT‑egitimi is a learning resource that bundles step‑by‑step tutorials, code samples, and a ready‑to‑run lab for students working with ESP32 and Arduino microcontrollers. Its focus is on building an end‑to‑end IoT pipeline: reading sensor data, wiring it to an ESP32, uploading readings to a cloud platform, and visualising the results on a dashboard. The content was developed during a hands‑on workshop at İstanbul Medeniyet Üniversitesi, so the examples are tightly coupled to a real classroom setting.

Key capabilities

  • ESP32 boot‑up confirmation – a minimal “Hello World” sketch that verifies the board’s serial output, useful for confirming wiring or a corrupted firmware image.
  • GPIO control – a blink example that uses GPIO‑2 as an on‑board LED driver, illustrating pin‑mode configuration and timing.
  • Sensor interfacing – a DHT11 temperature and humidity driver that demonstrates the DHT.h library, data parsing, and periodic polling.
  • Wi‑Fi initialization – code that connects the ESP32 to a local wireless network and reports connection status over the serial console.
  • ThingSpeak integration – a full‑stack flow that reads DHT11 data, forms an HTTPS GET request with a user‑supplied API key, and posts the values to a channel on MathWorks ThingSpeak.
  • Modular configuration – the Wi‑Fi SSID, password, and ThingSpeak write key are stored in variables, making it easy to repurpose the sketch for other hardware or cloud endpoints.

How it works

At its core the project is a single Arduino sketch that runs on an ESP32 Dev Module. The architecture follows a classic “sensor‑to‑cloud” pattern:

  1. Hardware layer – an ESP32 board powered by a USB cable or DC supply, a DHT11 sensor wired to GPIO‑4, and the on‑board LED for visual feedback.
  2. Software dependencies – the Arduino core for ESP32 can be installed via the Boards Manager URL https://raw.githubusercontent.com/espressif/arduino-esp32/gh-pages/package_esp32_index.json. The sketch pulls in three libraries: WiFi.h, HTTPClient.h, and DHT.h.
  3. Execution flow – setup() establishes a serial link (115 kbit/s), initializes Wi‑Fi, and starts the DHT11 sensor. The loop() reads temperature and humidity, checks the Wi‑Fi connection, and if online, builds a URL that encodes the values using the ThingSpeak write key. An HTTPClient GET request is sent, and the response code is logged before the sketch sleeps for 15 seconds.
  4. Cloud layer – ThingSpeak acts as a lightweight time‑series database. Once the user creates a new channel and obtains the write API key, the sketch can push readings to Field 1 (Temperature) and Field 2 (Humidity). Data appears on the ThingSpeak dashboard with minimal configuration.

The entirety of the solution is compiled with the Arduino IDE, so no additional build tools or container stacks are required.

Who it fits / Who it doesn’t

Fits

  • Educators and students preparing introductory courses on embedded systems or IoT; the lab style, clear screenshots, and step‑by‑step code make it read‑able for beginners.
  • Prototype developers who want a quick, drop‑in sketch to collect environmental data and visualise it on a web dashboard.
  • ESP32 enthusiasts who already own the hardware and are looking for a minimal, real‑world example of Wi‑Fi communication.

Doesn’t

  • Advanced IoT architects needing MQTT brokers, TLS certificates, or complex authentication flows; the example sticks to HTTP GET on a public cloud.
  • Professionals building production‑grade firmware; there is no mechanism for over‑the‑air updates, robust error handling, or power‑management strategies.
  • Users without Internet access – the entire pipeline relies on an active Wi‑Fi network and ThingSpeak’s online service.

Setup, briefly

A functional ESP32 board, a DHT11 sensor, and a local Wi‑Fi network are the minimal prerequisites. The README walks through adding the ESP32 board definition to Arduino, selecting the Dev Module, and assigning the correct COM port. After installing the three libraries, the user copies their Wi‑Fi credentials and ThingSpeak write key into the sketch. For full instructions, refer to the project’s README.

The project sits comfortably in the ecosystem of beginner‑friendly IoT tutorials, alongside resources such as the ESP32‑ThingSpeak quickstart or the Arduino‑sensor‑integration guides. While it does not compete with commercial IoT platforms that offer extensive device management or edge AI capabilities, it provides a lightweight, fully documented path to get from a bare‑bones microcontroller to a cloud‑connected sensor system in under an hour. If you’re looking for a practical, classroom‑ready example to demonstrate the fundamentals of embedded programming and web‑based data collection, this repository offers exactly that scope.

The source is on GitHub.