Skin diseases are a serious public health issue that are frequently impacted by physiological and environmental variables such as skin hydration, temperature, and UV radiation exposure. Potential skin disorders can be predicted, and their advancement can be stopped with early diagnosis and monitoring of these factors. The goal of this study is to create a device that can identify skin conditions by combining a moisture, UV light, and temperature sensor. An Arduino Uno and an ESP12 Wi-Fi module are interfaced with these sensors to provide effective data collection and processing. The gathered sensor data is examined to find associations with particular skin disorders, such as elevated UV levels that might point to a melanoma risk. Variations in temperature and moisture content also reveal information about other dermatological conditions. A simple website, developed with HTML, CSS, and JavaScript, presents the processed data. The website enables proactive skin health monitoring by allowing individuals to input sensor readings and view real-time forecasts of potential skin disorders. This system presents an innovative approach to addressing skin health issues by integrating advanced sensor technology with web-based analysis. Accurate sensors, reliable technology, and an intuitive interface work together to offer early forecasts, promoting preventative care and reducing the prevalence of skin conditions. This study highlights how biomedical engineering and IT can be combined to develop effective healthcare tools.