An intelligent travel planning assistant that helps users plan their trips by finding flights, hotels, restaurants, and providing local insights.
- Single-input natural language processing for travel details
- Intelligent parsing of dates, locations, and preferences
- Real-time flight and hotel search
- Progress tracking for search operations
- Travel Assistant: Helps with trip planning and itinerary details
- Research Assistant: Provides local insights and restaurant recommendations
- Restaurant database with vector search capabilities (only enabled for Thailand currently)
- Integration with search engines for up-to-date information
- Flight options and pricing
- Hotel recommendations
- Local restaurant suggestions with detailed information:
- Ratings and reviews
- Opening hours
- Location and contact details
- Price ranges
- Available services
- Natural conversation with AI assistants
- Suggested prompts for easy starting points
- Context-aware responses based on your travel plans
- Rich formatting for clear information display
- Frontend: Streamlit
- Language Models: Ollama/Claude
- Vector Store: ChromaDB
- Embeddings: nomic-embed-text
- Search: DuckDuckGo API
- Data Storage: JSON + Vector Database
- Web Data (Realtime, Datasets, Scraping): BrightData
- Install Dependencies
pip install -r requirements.txt- Environment Setup
# Create a .env file with necessary API keys and configurations
cp sample.env .env- Initialize the Application
cd frontend
streamlit run frontend.py- Run the Backend
cd backend
python app.py-
Enter Travel Details
- Use natural language to describe your trip
- Example: "I want to travel to Bangkok from New York from July 1st to July 10th"
-
View Results
- Check flight options and pricing
- Browse hotel recommendations
- Explore local restaurants
-
Get Local Insights
- Chat with the Research Assistant about local attractions
- Get restaurant recommendations
- Learn about local customs and travel tips