During the latest events caused by climate change and the current of the child, Peru has been affected by these natural disasters, such as the flood, which directly affect the Peruvian economy and especially the department of Piura. To prevent and mitigate the problems that affect the department of Piura with respect to flooding, the development of a probabilistic system has been proposed with the use of machine learning that will allow us to prevent possible climatic changes and avoid material damage to the area based on predictions. Likewise, the data found in the repository of the free data web page provided by SENAMHI will be extracted to be reused internally and can contribute to the development of the application through neural networks that will facilitate the use of the data. Given this, it has been decided to use the data scientific method, which consists of 10 phases that allow...