DryLect

Supervisor Name

Amal Dweik

Supervisor Email

amal@ppu.edu

University

Palestine Polytechnic University

Research field

Computer Science

Bio

DryLect will offer a modern and practical solution for everyday laundry needs. The system will consist of a drying rack equipped with sensors to monitor the dryness of clothes, determine the optimal drying duration, and calculate the needed time for them to dry. Once the clothes reach the desired dryness level, the system can automatically open a basket positioned beneath the rack, collect the clothes into it, and close it to protect the clean laundry. This process can be either fully automated or manually controlled through the mobile application, based on user preference. Figure 1: Prototype of DryLect To protect clothes from unexpected weather conditions, the system will include a retractable canopy that automatically deploys when rain is detected or when the clothes are dry to prevent excessive sun exposure, preserving fabric quality. Users have the option to control the canopy manually through the mobile app. Additionally, the system will measure surrounding temperature and humidity levels and display this information in the app. These readings, along with data fetched from weather API, help optimize the drying process by providing recommendations on the best times to hang clothes and giving insights into environmental conditions. If unexpected weather conditions are predicted, users receive alerts via the mobile application.