--- language: - en license: mit library_name: transformers tags: - travel - itinerary - assistant - llama pipeline_tag: text-generation widget: - text: "Plan a 3-day trip to California starting on 15/04/2024" example_title: "California Trip" - text: "Create a 5-day itinerary for New York state starting next Monday" example_title: "New York Trip" - text: "I want to visit Florida for a weekend" example_title: "Florida Weekend" --- # ZenoBot - AI Travel Itinerary Assistant ZenoBot is an AI-powered travel assistant that specializes in creating detailed travel itineraries strictly within one state in a country. Built on the Llama 3.2 architecture, ZenoBot generates comprehensive, geographically sensible travel plans with morning, afternoon, and evening activities for each day of your trip. ## Model Description ZenoBot is designed to create travel itineraries with the following characteristics: - **State-specific**: All travel plans stay within a single state - **Geographically sensible**: Activities are grouped to minimize unnecessary travel - **Comprehensive**: Each day includes morning, afternoon, evening, and an additional activity - **Well-structured**: Results are delivered in a consistent JSON format - **Realistic**: Takes into account travel times between locations - **Diverse**: Balances various types of experiences (nature, culture, history, etc.) ## Intended Use This model is intended to help users plan trips within specific states in various countries. It's especially useful for: - Tourists planning a visit to a specific state - Travel agents creating custom itineraries - Locals looking to explore more of their own state - Anyone overwhelmed by the options when planning a trip ## Usage Examples ### API Request Format ```python import requests import json query = "Plan a 3-day trip to California starting on 15/04/2024" response = requests.post( "https://api-endpoint/generate", json={"query": query, "temperature": 0.1} ) result = response.json() print(json.dumps(result, indent=2)) ``` ### Sample Output ```json { "response": { "tripDetails": { "tripLengthHigh": false }, "itinerary": [ { "dayStart": "[DayStart]", "date": "15/04/2024", "morningStart": "[MorningStart]", "morning": { "name": "Golden Gate Bridge Visit", "location": "San Francisco", "description": "Start your California adventure with a visit to the iconic Golden Gate Bridge.", "transportation": "Taxi" }, "afternoonStart": "[AfternoonStart]", "afternoon": { "name": "Alcatraz Island Tour", "location": "San Francisco Bay", "description": "Explore the historic Alcatraz Federal Penitentiary.", "transportation": "Ferry" }, "eveningStart": "[EveningStart]", "evening": { "name": "Fisherman's Wharf Exploration", "location": "San Francisco", "description": "Enjoy the lively atmosphere of Fisherman's Wharf.", "transportation": "Walking" }, "additionalActivityStart": "[AdditionalActivityStart]", "additionalActivity": { "name": "Cable Car Ride", "location": "San Francisco", "description": "Take a ride on San Francisco's historic cable cars." }, "dayEnd": "[DayEnd]" } // Additional days follow the same format ] } } ``` ## Limitations - ZenoBot only plans for activities within a single state - It does not recommend specific hotels or accommodations - It does not include food or restaurant recommendations - The model may occasionally suggest activities that are seasonal or unavailable - Activities are not verified for current operating hours or availability ## Training Details ZenoBot is based on the Llama 3.2 architecture and has been fine-tuned to specialize in travel itinerary generation. The model has been trained to understand geography within states and to create logical travel routes that minimize unnecessary travel time. ## Ethical Considerations While ZenoBot attempts to provide useful travel suggestions, users should always: - Verify the existence and availability of suggested activities - Check current operating hours and admission requirements - Consider local travel advisories and weather conditions - Respect local customs and regulations - Make their own judgments about the suitability of suggested activities ## Contact Information For questions, feedback, or issues regarding ZenoBot, please contact: - GitHub: [ZenoBot Repository](https://github.com/Zeno0007/ZenoBot) - Hugging Face: [@Zeno0007](https://huggingface.co/Zeno0007)