Phoenix Eye

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This project addresses the challenge of managing wildfires, particularly in regions with limited technological infrastructure. Phoenix Eye uses machine learning models, including Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks, to predict wildfire paths accurately. The system includes a robust communication network utilising LoRa technology to send alerts up to 45 kilometres, even without internet access. An interactive web platform provides real-time 3D mapping, improving emergency response and decision-making. This comprehensive approach enhances wildfire management and safety
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