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Description
This project highlights the potential of TinyML and edge intelligence in real-world environmental monitoring applications. By integrating AI-based visual detection with environmental sensor fusion, the system achieves early, accurate, and energy-efficient forest fire detection, supporting faster response and reduced ecological damage.
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