Project Description:

The Forest Fire IoT Alert System is a real-time environmental monitoring solution designed to detect early signs of forest fires using a combination of IoT sensors and alert mechanisms. It continuously monitors key environmental parameters such as temperature, humidity, and smoke levels, and sends instant alerts (SMS, email, or web dashboard notifications) to authorities and forest rangers when abnormal or fire-indicating values are detected.

Technologies Used:

• Backend: PHP / Java / Node.js (to process sensor data and trigger alerts)

• Frontend: HTML, CSS, Bootstrap, JavaScript (dashboard to visualize data)

• Database: MySQL / Firebase (to store sensor readings and event logs)

• IoT Hardware Components:

  • Microcontroller: Arduino / ESP32 / Raspberry Pi

  • Sensors: Temperature sensor (e.g., DHT11), Gas/smoke sensor (e.g., MQ-2/MQ-135), Humidity sensor

  • Communication: Wi-Fi / GSM / LoRa for long-range data transmission

  • Alert System: Buzzer, LED, SMS module (SIM800L), or online notification API

Key Features:

1. Real-Time Fire Detection:

   • Continuously monitors forest areas for unusual rises in temperature, smoke, or dry conditions.

2. Instant Alert System:

   • Sends SMS, emails, or dashboard alerts immediately when thresholds are crossed.

   • Can trigger a local buzzer or alarm to alert nearby personnel.

3. Web-Based Dashboard:

   • Live sensor data display with trends and graphs.

   • Geo-tagging of sensor locations for easy tracking.

4. Data Logging:

   • Stores historical environmental data for fire pattern analysis and predictive modeling.

5. Power Optimization:

   • Operates on solar power or long-life batteries in remote regions.