A new package that leverages pattern matching with language models to generate structured summaries or insights from user-submitted texts about topics like train maps or other transportation issues. I

This repository contains project code that takes in a public transit sample data that was collected from the Toronto Transportation Commission and summarizes the data of two randomly selected routes along with two directions with four boxplots, containing the medium, outliers, as well as the 25th and 75th percentiles (Q1 and Q3).

🚀 Generate clear summaries and insights from transportation texts using pattern matching with language models in this easy-to-use Python package.