Travel Agent based on Qwen2 RLHF is an AI-driven travel assistant that harnesses reinforcement learning from human feedback to optimize every aspect of trip planning. Combining real-time flight and hotel availability, local attraction databases, and user-defined preferences, the agent curates daily schedules, dining recommendations, transportation routes, and budget breakdowns. It supports multi-destination trips, group travel coordination, and last-minute changes, adjusting itineraries on the fly. Through a conversational interface, travelers input budget, dates, interests, and accommodation standards, receiving detailed plans including maps and packing checklists. Continuous interaction and feedback enable the model to learn individual tastes, improving relevance over time and delivering tailored, seamless travel experiences.

Build AI empowers users to design customized AI web apps that resonate with their audiences. By leveraging a no-code approach, users can easily integrate various AI features and personalize tools according to their expertise. It not only simplifies the process of creating sophisticated applications but also allows for quick iterations based on user feedback, enabling businesses to stay agile in a rapidly evolving digital landscape.