Web Application built to analyze and predict weather patterns via four categories: -Humidity (%) -Pressure (hPa) -Temperature (K) -Wind Speed (m/s)
Using 5 years of weather data from 30 cities, we built a collection of ML models for use in this full-stack application. A query is made to a database of this data, which then is fed into pre-trained models to provide the user with a table of predictions.