Flood forecasting by using Machine Learning

C. Murugamani, K Lakshmi Prasanna and R. Mamatha

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2022, vol. 8, issue 5, 329-333

Abstract: Floods have always been one of the worst disasters in the world. It not only affects living creatures but also impact the surrounding. The prediction of floods well before its arrival can provide a larger safety measures and can help to protect the habitat. The collection of large data for prediction and analyzing it approximately is always being the point of concern for the increasing technology. Various Artificial Intelligence model and machine learning algorithm software’s are developed to predict the flood. The previous developed system still needs modification. Our proposed work is based on Apache System ML machine learning software. Since this platform supports Python programming, the optimization and collection of large number of flood related data can be analyzed. The algorithm codes or programming codes are writable, reduced in error and readable. The proposed system will be more efficient and scalable and is expected to give better results and predictions.

Keywords: Machine Learning; Artificial Intelligence; Apache SystemML; Python (search for similar items in EconPapers)
Date: 2022
Note: Article URL: https://ijsrcseit.com/CSEIT2390277
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