SMARTPACK: weather based travelling attire recommender system for East Asian countries

SMARTPACK is a weather recommender system of travel attire that was created to help travellers, particularly those in tropical monsoon areas, to make the right clothing choices when travelling to East Asian countries. These areas have different and erratic weather conditions, and it is difficult to know what to bring with you as a tourist. The goal of this project is to deliver real-time location-based suggestions of attire to consider the temperature, humidity, and weather conditions by relying on weather APIs and clothing insulation values (Clo). The app is created as a mobile solution within Android Studio, with data management provided by Firebase, and smart tips created with the use of AI. SMARTPACK enables each user to enter the place they are going to travel and dates, after which it creates a personalized wardrobe package considering the climatic conditions in the region. The system was designed using the Waterfall model in the structured phases of requirement analysis, design, implementation and testing. The effectiveness of the system and the satisfaction of users were confirmed with the help of usability testing with the help of System Usability Scale (SUS). The outcome is a context sensitive, reliable tool that will improve travel planning by alleviating packing mistakes and increasing the preparedness of the user to different weather conditions.
Q – Science (Meteorology & Weather), T - information systems