Musical Therapy For Stress Reduction Using Machine Learning And IoT

Living with stress has become a part of our lifestyle. Long-term health issues are closely related to stress. Now a days peoples are no exceptions; they undergo stress and strains in facing new situations, where the outcome is uncertain. They are unable to identify the sources of their stress because of their numerous concerns. Because a doctor cannot always monitor stress levels and diagnose it, stress is strongly linked to many symptoms of anxiety, including restlessness and fatigue, as well as symptoms of depression, such irritability and problems concentrating. Stress is a prevalent problem in modern society, and there is a growing interest in using technology to help people manage their stress levels. In order to identify the right raga to assist reduce stress, the proposed study investigates the use of IoT sensors to assess physiological signs linked to stress. Musical therapy has a long history in India’s holistic medicine, an ancient medical discipline. People everywhere are paying attention to music medical therapy. A wearable device with built-in IoT sensors is developed to collect data by continuously monitoring heart rate, blood pressure, and an AI model that deals with calculating stress level is built based on this data. Different Ragas and Music are suggested based on the stress level in order to successfully deal with stress and provide emotional comfort. The study demonstrates the potential of IoT sensors and machine learning algorithms to develop personalized stress management systems that can help individuals cope with stress more effectively. The findings can be applied to various settings, such as workplaces and hospitals to enhance the well-being of individuals.