Abstract:

Natural Disasters such as floods and Hurricanes have been causing much damage to infrastructure and in some cases human fatalities across the globe. Compared to previous years, technological advancements have caused the establishment of many industries which release harmful contaminants into the atmosphere during their production. This procedure in turn damages the chemical composition of the air resulting in irregular rain cycle. This irregularity in rains often results in floods and hurricanes in nearby areas. To avoid this distress and property damage, our proposed methodology can help in detecting the flood early on to take necessary precautions. This is done by using a node microcontroller unit (MCU) with an ESP866 Wi-Fi module connected to temperature , humidity and ultrasonic sensors which detect the water surface temperature , Air humidity and water flow and level respectively . By collecting this data and passing through an algorithm we can predict the occurrence of the natural disaster well in advance and take preventive measures accordingly.

Description:

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