Abstract
The end outcome of climate change is flooding, a complex process that occurs all across the planet. Although certain gauging stations are used to forecast the likelihood of flooding, they are not very reliable. Unexpected flooding events are damaging not only people's lives but also important infrastructure. Our project's goal is to use deep learning to create a system for real-time and accurate flood monitoring and detection. The dependable, low power, wide-area communication method for flood detection that is proposed in this research uses wireless sensor networking technology. Additionally, we use a convolutional neural network to look for any living things that were impacted by the flood.
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