Downloadable computer application software for mobile phones, namely, software for AI-driven itinerary planning, real-time price comparisons, smart travel recommendations, dynamic change alerts, sentiment analysis of user-generated travel content, voice-command and chatbot integration, and user-end personalization by analyzing social media and calendar data to optimize travel plans and prevent booking conflicts; Downloadable computer software using artificial intelligence (AI) for AI-driven itinerary planning, generating personalized travel recommendations, integrating real-time price comparisons for flights, hotels, and activities, providing dynamic travel alerts, analyzing user-generated travel content, and utilizing personal calendar and social media data to enhance travel planning and avoid scheduling conflicts; Downloadable software in the nature of a mobile application for AI-powered travel planning, including personalized itinerary generation, real-time price comparisons, NLP-based smart recommendations, dynamic travel alerts, sentiment analysis of reviews, chatbot and voice-command interactions, and deep user-end personalization through integration with social media and calendar data

Artificial intelligence as a service (AIAAS) services featuring software using artificial intelligence (AI) for itinerary planning, real-time travel price comparisons, smart travel recommendations using NLP, dynamic travel condition monitoring and alerts, sentiment analysis of user-generated travel content, voice and chatbot interaction for travel assistance, and user-end personalization through integration with social media and personal calendar data to optimize travel plans and prevent conflicts with existing bookings; Providing temporary use of online non-downloadable chatbot software using artificial intelligence (AI) for integrating users' personal calendar to allow the AI algorithms to predict the user’s patterns and travel-plans and prevent conflicts with any bookings or suggested bookings. - Also allows AI Chatbot to recognize what the user’s travel plans are already so as to not over-suggest or under-suggest. Collecting vast data patterns to strengthen neural networks with use or NLPs and LLMs as the core