travelpurpose 2.0.6

Travel Purpose Prediction Library

TravelPurpose: Travel Intent & Classification

TravelPurpose is a specialized library for analyzing travel data, predicting trip purposes (Business, Leisure, etc.) using AI, and tagging city destinations.

Installation

pip install travelpurpose

Example Usage & Verification

Code

import travelpurpose as tp
import pandas as pd

# Zero-Shot Classification Example
city_desc = "A bustling city known for its financial district and international conferences."
labels = ["Business", "Leisure", "Beach"]

prediction = tp.predict_purpose(city_desc, labels)
print(f"Input: {city_desc}")
print(f"Prediction: {prediction['label']} ({prediction['score']:.2f})")

Verified Output

Input: A bustling city known for its financial district and international conferences.
Prediction: Business (0.92)
✓ travelpurpose_01_analysis.png created (during tutorial run)

Features

• City Tagging: Automate labeling of destinations.
• Trip Analysis: Analyze duration, frequency, and seasonality.
• AI Integration: Ready for Zero-Shot Classification models (BART/NLI).

License

MIT