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Phoenix Eye

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Advanced wildfire prediction and alert system

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

Team

  • Héctor Gutiérrez

    Héctor Gutiérrez

    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

  • César Silva

    César Silva

    I am passionate Computer Science student and cybersecurity engineer with years of development experience, dedicated to solving real-world problems through technology, fostering collaboration as a cornerstone for growth.more

    LinkedIn
  • Regina Ladron de Guevara

    Regina Ladron de Guevara

    Industrial designer from Tecnológico de Monterrey. Experience in product and concept design. more

    Portfolio LinkedIn Instagram
  • Mariana Alejandra García Gómez

    Mariana Alejandra García Gómez

    Mariana Alejandra García Gómez is a dedicated Computer Engineering student at Tecnológico de Monterrey, recognized for her strong academic performance and excellent grades. With a passion for technology, she has worked on web development projects and is exploring the potential of Internet of Things to create innovative solutions. Mariana is always eager to learn, diving into areas like artificial intelligence and systems modeling. In her personal life, she enjoys outdoor activities, reading, exercising, and cooking, finding balance between her academic interests and a healthy, active lifestyle.more

    LinkedIn

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