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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

Confidential

Techstack

PythonNeuralProphetPandasGoogle Colab

Purpose

Flood preparedness comes down to seeing trouble before it arrives. Anticipating runoff from rainfall is a hard forecasting problem, and getting it right earlier gives communities and planners more time to act.

Description

We modeled years of historical rainfall and flood records with a neural-network forecasting approach that learns runoff behavior from past events. After cleaning and structuring the data, the model produces event-based runoff forecasts and clear visualizations of expected behavior, giving planners a data-driven read on flood risk. It shows how we turn messy environmental data into decisions people can trust, applied machine learning aimed at a genuinely high-stakes problem.

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