Building a Local Event Planner AI Agent with DeepSeek R1

Recommendation engines play a crucial role in personalizing user experiences, from event and movie suggestions to e-learning content recommendations. Understanding how AI agents can combine multiple data sources and large language models to create personalized recommendations offers valuable insights for developers and business leaders looking to leverage AI in their own applications. With emerging tools like DeepSeek and modern agent frameworks, building sophisticated AI planning systems is more accessible than ever.

In this session, Alara Dirik, PhD candidate in Computer Vision at Imperial College London, will explore the fundamentals of AI agents and their practical applications in event planning. The session will demonstrate how to leverage DeepSeek's large language model capabilities with the smolagents framework to create context-aware recommendations. Whether you're interested in building AI-powered planning systems or exploring broader applications of AI agents, this session will provide the essential knowledge and hands-on experience you need.