Vacation Planner Assistant

This project is an AI-driven vacation planner assistant that engages users in dynamic conversations to provide real-time hotel recommendations. Built using Google's Generative AI and integrated with SerpAPI, it seamlessly combines AI capabilities with live data to simplify vacation planning.

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Features

• Real-Time Hotel Search: Fetch live hotel recommendations tailored to the user's preferences (e.g., location, dates, price range, amenities).
• Intelligent Conversations: The assistant uses Google's gemini model to maintain a natural and interactive conversation flow.
• Tool Integration: AI seamlessly triggers real-time hotel queries using SerpAPI.
• Timezone Awareness: Handles timezone differences explicitly to ensure accurate date handling for bookings.
• Error Handling: Provides clear feedback in case of invalid inputs or unexpected issues.
• Interactive Console: Users can engage directly via a clean and conversational command-line interface.

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Setup Instructions

1. Prerequisites

Ensure you have the following installed and set up:

• Python 3.8 or higher
• Environment Variables
  • GOOGLE_API_KEY: API key for Google Generative AI.
  • SERP_API_KEY: API key for SerpAPI hotel data.

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2. Installation

1. Clone the repository:

   git clone https://github.com/401-Nick/AI-Travel-Bot
   cd AI-Travel-Bot

2. Install required libraries:

   pip install -r requirements.txt

3. Set up environment variables:

   • Create a .env file in the project root directory.
   • Add the following keys:

     GOOGLE_API_KEY="your_google_api_key"
     SERP_API_KEY="your_serpapi_key"
     

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3. Running the Project

To start the assistant, run:

python main.py

4. Interacting with the Assistant

• Launch the assistant and type your query (e.g., "Find hotels in New York for next weekend").
• Type exit or quit to end the conversation.

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How It Works

1. User Input: The assistant engages the user for details like destination, check-in/out dates, price range, etc.
2. Hotel Search Trigger: The assistant identifies hotel-related queries and fetches data via SerpAPI.
3. Live Results: Processed hotel data is displayed with ratings, price estimates, and direct booking links.
4. Dynamic Follow-ups: AI ensures the conversation flows naturally while accommodating user preferences.

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Example Interaction

User: Find hotels in Los Angeles for December 16-20 under $300.
Assistant:

Fetching top-rated hotels in Los Angeles from Dec 16 to Dec 20 within a $300 budget...
Hotel 1: Sunset Inn
Price: $285/night
Rating: 4.6⭐
[Link to Hotel Booking]
Features: Free Wi-Fi, Parking, Outdoor Pool

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Error Handling

If the AI encounters an issue:

• It retries the hotel search.
• If invalid data is provided, the assistant requests clarification.

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Technology Stack

• AI Model: Google Generative AI (gemini-2.0-flash-exp)
• Real-Time Data: SerpAPI for hotel search
• Language: Python 3
• Environment Management: dotenv for API keys
• CLI Interaction: Console-based user input/output

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