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12345ranim145 / Smart-Wildfire-Prediction-System-LoRa-E5-with-Django

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This project is an intelligent IoT wildfire prediction system using the STM32WLE5JC LoRa E5 board and BME680 sensor. It collects temperature, humidity, pressure, and gas data, sends it via LoRaWAN to a Dragino Gateway and The Things Network (TTN), then transfers it to a Django server through MQTT for real-time monitoring, storage, and geolocation

mqtt leaflet postgresql gateway django-framework lora lorawan thingsnetwork bme680 gdal-python stm32wl
  • Updated Oct 10, 2025
  • Python

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