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Event-Based Rainfall Runoff Forecasting Using Artificial Neural Networks — AI & Machine Learning project by YenkoDev

Event-Based Rainfall Runoff Forecasting Using Artificial Neural Networks

Software as a Service

No

Category

AI & Machine Learning

Clients

Mapua University

Techstack

PythonNeuralProphetPandasGoogle Colab

Purpose

Flood preparedness depends on anticipating runoff before it happens. This study models historical flooding data with neural networks to forecast event-based rainfall runoff, supporting earlier and better-informed flood management decisions.

Description

Historical rainfall and flood records are cleaned and structured with Pandas, then fed into NeuralProphet, a neural-network-based time-series framework, to learn runoff patterns from past flooding events. The trained model produces event-based forecasts and visualizations that show expected runoff behavior, giving planners a data-driven view of flood risk. Development and training were run in Google Colab notebooks.

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