Project to predict weather based on measurements made in the past

An advanced AI system leveraging Multivariate LSTM networks for hyper-local weather forecasting and Graph Theory to simulate urban risk propagation, flood capacities, and storm trajectories.

This is a web application that provides weather forecast predictions. It allows users to search for a city and view 6‑day forecasts with parameters such as temperature, humidity, pressure, wind speed, and general conditions. The app also includes a prediction history feature and customizable settings like unit or theme preferences.