RestSure AI: An Intelligent Web-Based System for Sleep Disorder Detection Using Machine Learning

Sleep disorders, including insomnia and sleep apnea, have a profound impact on physical health, cognitive functioning, and overall quality of life. However, they are often difficult to detect early because diagnosis typically relies on clinical evaluations and polysomnography, which can be costly and not widely available. This paper introduces RestSure AI, a web-based intelligent platform designed to predict prevalent sleep disorders using lifestyle and physiological information gathered through structured questionnaires. The system combines a Django powered web interface with a machine learning backend based on a soft voting ensemble classifier. User-provided data—such as sleep duration, stress levels, physical activity, BMI, and vital signs—are processed and analyzed to classify sleep disorder types. Experimental results show that the proposed system yields accurate predictions and provides interpretable health guidance, making it a practical tool for initial sleep health screening.