Please push your probation projects inside this repo with the folder name as your name The aim of this project is to predict the wildfire before it happens.Through the climatic data collected by the sensors,such as temperature ,relative humidity,month,soil moisture, .These features predict the forestfire and it predict the probability of the wildfire.As wildfire is also caused by human consequences ,so i have also applied image recognition (deep learning) techniques to identify if fire has taken place.
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Please push your probation projects inside this repo with the folder name as your name
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dsc-akgec/probation-projects
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Please push your probation projects inside this repo with the folder name as your name
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