This repository supports a project aimed improve the efficiency of United Airlines' call center by predicting call handle times using machine learning. It analyzes factors like customer tone, call reason, and high-volume call times. A Flask web app delivers real-time predictions to enhance agent allocation, operations, and service quality.

This project aims to optimize United Airlines' call center by predicting call handle times using machine learning. It analyzes factors like customer tone and call reason, with a Flask web app providing real-time predictions to enhance resource allocation and service efficiency.