Easy to use web application that uses Chaos Theory and Artificial Intelligence to predict time series data.
Determine the existence of chaotic behavior concerning time series data and predict time series data by using local linear approximation method.
The method can provide early signals to local authorities before the occurrence of phenomena like floods and traffic jams. This can help authorities take necessary precautions ahead of time.
By having an early prediction of traffic flow, river water level, and Covid-19 cases, authorities can be better prepared to face these phenomena.
Early warnings can also help authorities improve their time management.
The ability to predict these phenomena can help authorities make more informed decisions.
By anticipating potential problems, people can take preventative measures that head off larger issues.
Early warnings allow infrastructure management teams to take proactive measures to protect essential services.
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Our comprehensive documentation provides step-by-step guides and detailed explanations to help you master our system, ensuring accurate and reliable output that drives informed decision-making and maximizes results.