AI TRAVEL PLANNER

Abstract

The AI Travel Planner is an intelligent, automated system designed to simplify and enhance the travel planning process using advanced artificial intelligence and multi-agent architectures. Traditional travel planning involves navigating multiple platforms to compare flights, hotels, and weather conditions, resulting in a fragmented and time-consuming experience. This project addresses these challenges by integrating a centralized platform powered by agentic AI workflows, enabling seamless coordination between travel components. The system utilizes a local Large Language Model to convert user-friendly inputs into structured travel data, such as standardized airport codes, ensuring accuracy and efficiency. It employs parallel agents to retrieve real-time data on flights, accommodations, and weather conditions, while a smart caching mechanism reduces redundant API calls and improves response time. The backend is developed using FastAPI, while the frontend is implemented with Next.js to provide a responsive and user-friendly interface. The system generates personalized, day-by-day itineraries based on user preferences such as destination, budget, and travel dates. Additionally, the solution supports downloadable reports, enhancing usability for travelers. By combining real-time data processing, AI-driven decisionmaking, and scalable architecture, the AI Travel Planner offers a highly efficient and personalized travel planning experience. The project demonstrates the practical application of artificial intelligence in automating complex decisionmaking tasks and improving user satisfaction in travel management systems.