Rajesh Gajengi

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Flight Price Prediction

ML model served with Flask + Docker — web UI + API.

Python icon Python FlaskDocker icon Docker scikit-learn

Overview

End-to-end ML project: data ETL, model training, API serving, and containerized deployment.

Features

  • Preprocessing pipeline
  • Deployed REST API
  • Basic UI

Challenges

  • Feature drift handling
  • Model versioning

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