Getaiway is a travel planning app that leverages AI technology to create personalized trip itineraries. By inputting your travel preferences, such as destinations, activities, and budget, Getaiway provides day-by-day itineraries including transportation info, interactive maps, schedules, and more. The tool aims to simplify the travel planning process, offering both custom and curated itineraries for a seamless, stress-free planning experience.

Momo HQ is an innovative AI-powered travel planner that offers personalized travel itineraries. By answering a few questions related to your trip, Momo HQ uses advanced algorithms to provide tailored recommendations for destinations, accommodations, activities, and restaurants, ensuring each travel experience is unique and suited to individual preferences.

Next Trip AI leverages cutting-edge artificial intelligence technology to provide users with personalized travel itineraries. This AI-driven platform suggests flights, accommodations, activities, and local attractions based on individual preferences and requirements, streamlining the travel planning process. Whether you're planning a family vacation, a solo adventure, or a business trip, Next Trip AI can assist in crafting an itinerary that suits your needs. Users can explore options, receive tailored recommendations, and save time while ensuring they have a memorable trip. Enjoy free trip planning assistance with just a few clicks.

Tripio is an innovative AI-driven travel planner designed to simplify your travel experience. It generates personalized itineraries by analyzing user preferences and interests, while also providing real-time updates on local attractions and events. Whether you're a thrill-seeker or a culture enthusiast, Tripio crafts unique travel plans that suit your style. Additionally, it optimizes budgets, helping you to get the most out of your travels without overspending. Experience tailored adventures with ease and efficiency.

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.