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An IoT-based smart weather monitoring system using ESP32 and DHT22 with cloud integration via Adafruit IO for real-time visualization and alerts.

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Smart Weather Monitoring System with Cloud Integration

An IoT-based smart weather monitoring system that simulates temperature and humidity data using an ESP32 and DHT22 sensor in Wokwi, and uploads the data to the Adafruit IO cloud platform for real-time visualization and alerts.

πŸ“Œ Project Overview

This project demonstrates how IoT devices can be used to collect environmental data and integrate it with cloud services. Sensor data is continuously monitored and uploaded to the cloud, where it can be visualized on dashboards and used to trigger email alerts when predefined thresholds are exceeded.

βš™οΈ Features

  • Real-time temperature and humidity monitoring
  • Cloud integration using Adafruit IO
  • Threshold-based email alerts
  • Data visualization using dashboards
  • Simulation-based implementation (no physical hardware required)

πŸ› οΈ Technologies Used

  • ESP32 (Simulated)
  • DHT22 Sensor
  • Wokwi IoT Simulator
  • Adafruit IO Cloud Platform
  • MQTT Protocol
  • Embedded C / MicroPython

πŸ§ͺ Simulation & Results

  • Sensor readings are simulated using Wokwi
  • Data is published to Adafruit IO using MQTT
  • Dashboards display live sensor values
  • Email notifications are triggered when temperature or humidity crosses set limits

πŸ“„ Documentation

The complete project report, including system architecture, circuit diagrams, implementation details, and results, is available in the PDF file included in this repository.

πŸ”— Related Links

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An IoT-based smart weather monitoring system using ESP32 and DHT22 with cloud integration via Adafruit IO for real-time visualization and alerts.

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