ananttripathi/Tourism_Project
End-to-end MLOps pipeline for predicting customer purchase of a wellness tourism package. Includes data registration on Hugging Face, XGBoost model training with MLflow tracking, CI/CD using GitHub Actions, Dockerized Streamlit app, and deployment to Hugging Face Spaces.
This project helps travel companies predict which customers are most likely to purchase a wellness tourism package. You input customer demographic and interaction data, and it outputs a prediction (purchase or no purchase) along with a confidence score. This tool is for sales managers, marketing analysts, or strategists at travel agencies who want to identify high-potential leads.
Use this if you need a reliable way to score potential customers on their likelihood to buy specific travel packages, helping your sales team focus their efforts.
Not ideal if you're looking for a simple, one-off analysis; this project is designed for continuous use and integration into an operational workflow.
Stars
7
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jan 25, 2026
Commits (30d)
0
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