IoT Project #1: DIY Smart Weather Station using NodeMCU, DHT11 & OLED Display
Welcome to Episode 2 of our NodeMCU & IoT Mastery Series! 🌐 In this video, we are building a DIY Smart Weather Station using the NodeMCU ESP8266 board, a DHT11 temperature & humidity sensor, and a 0.96" SSD1306 OLED display! ☁️🌡️
We’ll guide you step-by-step through the circuit connections, libraries installation in Arduino IDE, and code explanation. Not only will the weather data display locally on the OLED screen, but we will also set up a local web server so you can monitor live indoor/outdoor conditions from any smartphone or laptop on your Wi-Fi network! 📱✨
🔥 Check out our complete NodeMCU & IoT Mastery Series Playlist here: • NodeMCU & IoT Mastery Series
📥 Download Resources (Code & Circuit Diagram): https://drive.google.com/drive/folder...
📌 What you will learn in this video:
• Interfacing DHT11 and SSD1306 OLED with NodeMCU
• Connecting I2C display pins (SDA/SCL) and DHT data pins
• Installing Adafruit GFX, SSD1306, and DHT libraries in Arduino IDE
• Creating an auto-refreshing local HTML web page hosted on ESP8266
• Designing a compact cardboard model enclosure for your project
🛠️ Components Needed for This Project:
• NodeMCU ESP8266 Board
• DHT11 Temperature & Humidity Sensor
• 0.96" I2C OLED Display (SSD1306)
• Breadboard & Jumper Wires
• Micro USB Cable
⏱️ Timestamps:
0:00 – Introduction & Project Concept
1:09 – Required Components & Hardware Overview
1:35 – Wiring & Connection Diagram (NodeMCU to DHT11 & OLED)
3:11 – Coding: Including Libraries (WiFi, WebServer, DHT, Adafruit GFX/SSD1306)
4:09 – Setting up WiFi Credentials & Hardware Configuration
6:18 – HTML/Web Server Code Explanation
7:23 – Void Setup: Initializing Sensors & Serial Monitor
8:04 – WiFi Connection Logic & Getting the IP Address
9:20 – Void Loop: Reading Temperature & Humidity Data
11:41 – Displaying Data on the OLED Screen
12:57 – Live Hardware Setup Walkthrough
13:28 – Uploading Code via Arduino IDE
14:31 – Live Demonstration: Monitoring Data on Mobile & OLED
16:42 – Conclusion & Call to Action (Sensor Suggestions)
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