This study explores the design and implementation of Internet of Things (IoT)-enabled skin sensors for tracking UV exposure. It describes the planning, construction, and performance of the skin-mounted sensors. The sensors detect UV radiation in real time; it can monitor a person's exposure to the sun. This information is subsequently sent to IoT platforms for analysis and response. The IoT enables the remote collection of data, analysis, and personalized recommendations for sun safety measures. The research emphasizes the significance of UV exposure understanding in avoiding sunburn and skin cancer. The proposed system takes a preventative approach to sun protection by using wearable skin sensors and IoT to enable consumers to make informed choices regarding their outdoor activities and sun exposure patterns. The potential of such technology to improve public health and increase awareness of UV-related hazards is emphasized. © 2024 Elsevier B.V., All rights reserved.