Building a Smart Travel Planner Using Google's Agent Development Kit (ADK)

The rapid advancement of autonomous systems has significantly increased interest in intelligent agents capable of managing complex, multi-step decision-making tasks. One such promising application is the domain of travel planning, which typically requires the integration of diverse data sources and user preferences. This paper presents the design and development of an AI-powered Travel Planner agent using Google's Agent Development Kit (ADK). By leveraging the capabilities of Large Language Models (LLMs) in combination with custom tool integration, the agent can perform a wide range of tasks such as suggesting travel destinations based on user interests, retrieving weather forecasts, searching for flights and accommodations, and generating personalized itineraries. The agent architecture is modular and supports dynamic interaction through contextual memory, ensuring a seamless conversational experience. Our implementation showcases how ADK can facilitate the creation of intelligent, tool-driven agents capable of navigating real-world scenarios, ultimately demonstrating the potential of AI agents in transforming the travel planning process.