AI Travel Planner: An Intelligent Travel Planning Assistant Based on Groq LLM

AI Travel Planner is an intelligent travel planning application developed by Alvira Parveen, built using Python, Streamlit, and Groq LLM. It can generate personalized itineraries based on user input of destination, budget, trip duration, and travel preferences. It provides flight, hotel, attraction, food recommendations, and weather information, and also supports interactive maps and PDF export functionality, offering users a one-stop travel planning experience.

• Original Author/Maintainer: Alvira Parveen
• Source Platform: GitHub
• Release Date: 2026-05-29

This project aims to solve the pain point of users switching between multiple websites to plan their trips. By combining the natural language understanding capabilities of large language models with structured data, it provides an intuitive and interactive travel planning service, allowing users to get a complete itinerary plan in one interface.

Core Tech Stack

• Python 3.12 (Primary development language)
• Streamlit (Interactive web interface)
• Groq LLM (Natural language generation)
• Folium (Map visualization)
• Pandas (Data processing)
• FPDF (PDF generation)

System Architecture

Adopts a modular design, with functions encapsulated into independent tool modules (e.g., flight_tool, hotel_tool, etc.), making it easy to maintain and extend.

Workflow

1. User inputs travel information
2. Queries flights, recommends hotels/attractions/food
3. Retrieves weather data
4. Groq LLM integrates information to generate itinerary
5. Displays interactive dashboard
6. Supports PDF export

Core Features

1. Personalized Itinerary Generation: Customizes schedules based on destination, budget, duration, and travel type
2. Flight/Hotel Recommendations: Filters by budget and displays detailed information
3. Attraction/Food Recommendations: Includes popular spots, hidden gems, and local specialty dishes
4. Weather Information: Provides forecasts and travel suggestions
5. Interactive Experience: Folium maps, image galleries
6. PDF Export: Download complete itinerary documents

Highlighted Features

Exclusive Baramulla recommendations, offering in-depth travel experiences in the Kashmir region (hidden gems, special attractions and food)

Technical Highlights

• Integration of LLM and structured data: Ensures fluency of generated content and accuracy of information
• Streamlit rapid prototyping: Build interactive interfaces without front-end knowledge
• Modular design: Follows single responsibility principle, easy to extend
• User experience first: Intuitive interface, visual display, PDF export

Application Scenarios

• Individual travelers: Quickly plan vacations
• Travel planners: Assist in improving efficiency
• Travel enthusiasts: Explore new destinations
• Developers: Learn LLM applications and Streamlit development

Data Layer Enhancement

• Integrate real-time flight APIs to obtain authentic information
• Integrate real-time hotel APIs to update prices and room availability

Function Expansion

• Multilingual support
• AI chat travel assistant (real-time Q&A)
• Voice input planning
• User account system (save itineraries)
• Travel history dashboard