Overview:

The IoT-based Weather Monitoring System is a smart project that collects, analyzes, and displays real-time environmental data such as temperature, humidity, atmospheric pressure, and air quality.
It uses IoT sensors connected to a microcontroller and cloud server to monitor weather conditions continuously.

Users can access live weather updates through a web dashboard or mobile app, making it useful for agriculture, disaster management, environmental research, and smart cities.

This project demonstrates the integration of IoT, cloud computing, and data visualization, making it ideal for final-year computer science or electronics students.

Objectives:

• To develop a real-time weather monitoring system using IoT.

• To collect environmental data and send it to the cloud for analysis and visualization.

• To provide remote access to weather data through a web or mobile interface.

• To contribute to smart city and agriculture-based applications for better decision-making.

Key Features:

1. Real-time Weather Data: Monitors temperature, humidity, pressure, and other environmental parameters.

2. Cloud Connectivity: Uploads live sensor data to cloud platforms like ThingSpeak, Blynk, or Firebase.

3. Dashboard Visualization: Displays real-time and historical weather data in graphical form.

4. Alerts & Notifications: Sends alerts for abnormal readings like high temperature or humidity.

5. Data Logging: Maintains a record of previous readings for trend analysis.

6. Remote Access: Users can view weather data from anywhere using the internet.

7. Scalable System: Can integrate more sensors (rainfall, UV index, air quality, etc.).

8. Low Power Consumption: Designed to work efficiently using low-power IoT components.

Tech Stack:

Hardware Components:

• Microcontroller: NodeMCU (ESP8266) / ESP32 / Arduino UNO

• Sensors:

  • DHT11/DHT22 (Temperature & Humidity Sensor)

  • BMP180 (Barometric Pressure Sensor)

  • MQ135 (Air Quality Sensor)

  • Rain Sensor (Optional)

  • LDR (Light Intensity Sensor - optional)

• Wi-Fi Module: In-built in NodeMCU / ESP32

• Power Supply: Battery or solar power for portability

Software & Tools:

• Frontend: HTML, CSS, Bootstrap, JavaScript

• Backend: Node.js / PHP / Python (Flask or Django)

• Database: Firebase / MySQL / MongoDB

• IoT Platforms: ThingSpeak, Blynk, or MQTT Broker

• Data Visualization: Charts.js or Google Charts for dashboards

System Workflow:

1. Data Collection:
   IoT sensors continuously measure temperature, humidity, and other weather parameters.

2. Data Transmission:
   The microcontroller (NodeMCU/ESP32) reads sensor values and sends them to the cloud via Wi-Fi.

3. Cloud Storage:
   The cloud platform stores the received data in a real-time database.

4. Dashboard Visualization:
   The web or mobile dashboard displays live data readings and graphical trends.

5. Alerts & Analysis:
   If certain thresholds are crossed (e.g., temperature > 40°C), an alert or notification is triggered.