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Forest Fire Detection System

Created for Semester 7 Internet of Everything Lab- Mini Project
This project is a Forest Fire Detection System that leverages a combination of hardware and software components to detect fire hazards in forest areas. The system utilizes various sensors, an ESP8266 for communication, and a React Native application for monitoring alerts.

Technologies Used

Hardware:

  • ESP8266
  • Flame Sensor
  • MQ7 Gas Sensor
  • DHT11 Temperature and Humidity Sensor
  • Jumper Wires
  • Breadboard

Software:

  • React Native (for mobile app)
  • Flask (for backend server)
  • Arduino IDE (for sensor code)
  • ngrok (to connect server with app)

Components

  • APP Directory: Contains the React Native application code for monitoring alerts and displaying sensor data.
  • Server Directory: Contains the Flask server code that handles incoming sensor data and serves the mobile app.
  • FORESTFIREDETECTION.ino: Arduino code for interfacing with the sensors and sending data to the server.

Screenshots

When forests are safe i.e. no fire:

App when forests are safe, shows a full normal forest
When there are fire like conditions detected
List of notifications when fire/dangerous condition detected When there is fire, image changes to a burnign forest image