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dheerajGits / skyhack

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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.

machine-learning natural-language-processing numpy pandas seaborn flask-application matplotlib ivr call-center nltk-python skyhack
  • Updated Jan 1, 2025
  • Jupyter Notebook

Ramneek2003 / Skyhack-2.0

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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.

flask machine-learning natural-language-processing numpy pandas seaborn nltk matplotlib random-forest-classifier xgboost-classifier skyhack
  • Updated Oct 10, 2024
  • Jupyter Notebook

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