model-card.md

---
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)