Taxy AI operates as an intelligent travel companion, utilizing advanced algorithms to analyze user preferences and behaviors. It offers tailored travel recommendations, manages itineraries, and provides timely updates and alerts. Users can engage in a conversational manner to explore travel options, make bookings, and ensure a seamless traveling experience, all while receiving curated suggestions for enhancing their journeys.

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.