DrySense: A Smartline System with Weather API Integration

The weather can be quite unpredictable with frequent typhoons between June and November in the Philippines thus, drying clothes outside is quite challenge. Despite this, most of laundry workers still prefer sun-drying since it is affordable and preserves the freshness of the clothes. However, drying clothes outside has its challenges like odors, allergens, animal droppings, and weather surprises. DrySense can predict rain and observe smoke, and it has an automated system features for retrieving garments. The results of the tests conducted on the system's performance following its installation showed positive feedback from respondents, who gave a weighted score of 3.1, indicating that users strongly agreed with the system's overall performance and its ability to lighten household chores. The respondents rated the built shelter and manual control positively, and the developed software, which suggests an algorithm for retrieving and releasing decision- making mechanisms from weather application programming interface data, was also successful in achieving its objective. The researchers concluded that the DrySense system passed ISO25010 evaluation, able to lighten household chores, and provide users with a hassle-free experience.