App-Solutely Engaging: Transforming the Tourist Experience with Interactive Technology

In the current digital era, there is a significant demand among consumers for enhanced travel websites, such as TripAdvisor and Agoda, which assist them in selecting their destinations. These platforms utilize modern technologies, including recommendation algorithms and natural language processing (NLP), to provide personalized recommendations based on user preferences. The evolution of travel websites is crucial for streamlining the planning process by offering personalized suggestions that align with users' needs and enhance their overall travel experience. This study aims to develop a user-friendly web-based application designed to improve the travel experience for tourists across Luzon, Philippines, utilizing a combination of NLP and recommendation algorithms. Additionally, the study will evaluate the effectiveness of content-based filtering and NLP in recommending destinations, offering insights for enhancing web-based applications and integrating AI technologies to tailor travel experiences. Feedback from fifty (50) participants, both from within and outside the Manila area, indicates that a personalized approach significantly improves traveler satisfaction and fosters deeper connections with the region, ultimately benefiting the local economy. The results demonstrate that the system can provide accurate information to assist tourists in finding their desired destinations, based on their mood and preferred activities.