| --- |
| title: Tourism Package Prediction |
| emoji: 🧳 |
| colorFrom: blue |
| colorTo: green |
| sdk: streamlit |
| sdk_version: "1.32.0" |
| app_file: app.py |
| pinned: false |
| --- |
| |
| # Tourism Package Prediction App |
|
|
| This Streamlit app predicts whether a customer will take a tourism package (`ProdTaken`) |
| using a trained Machine Learning model. |
|
|
| ### Model |
| - **Model repo**: `VJBharathkumar/tourism-prod-prediction` |
| - Algorithm: Random Forest (scikit-learn) |
| - Includes preprocessing + model as a single pipeline |
|
|
| ### Dataset |
| - **Dataset repo**: `VJBharathkumar/tourism-wellness` |
|
|
| ### Features |
| The app collects customer details such as: |
| - Age |
| - Type of Contact |
| - City Tier |
| - Duration of Pitch |
| - Occupation |
| - Gender |
| - Monthly Income |
| - Travel history and preferences |
|
|
| ### Output |
| - Prediction (`0` = will not take package, `1` = will take package) |
| - Probability score |
