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# 2024 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
Héctor Gutiérrez, a Computer Science and Technology student at Tecnológico de Monterrey, focuses on AI and machine learning. He is part of the Technological Scientific-Based Entrepreneurship Program (EBCT) at Orión Technology Park, working in a hybrid environment to merge scientific and technological innovation. Héctor and his team have focused on fire trajectory prediction, applying advanced machine learning and data analysis techniques. Supported by a 100% scholarship in a pre-incubation phase, their goal is to transform fire prevention practices and make a positive societal impact through innovative fire management solutions.more
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