Stress Level Prediction and Management Using Machine Learning Techniques

A smart solution for users to classify stress levels and make predictions using Machine Learning techniques like voice and face recognition is presented in this paper. Excessive stress, which can have detrimental effects even if certain reactions can be controlled, is a common aspect of life, causing physical, mental, and emotional strain when personal and social resources are exceeded. Stress is experienced by over 100 million Americans, and in Sri Lanka, a South Asian nation, there is less emphasis on mental health than in Western and European nations. According to the World Health Organization, it is estimated that 5% to 10% of Sri Lanka's population needs treatment for mental health issues. User sentiments are anticipated, and suggestions are provided based on AI methods, utilizing the system's ability to recognize voices and faces. Additionally, cardiac and sleep issues are identified and addressed using physical body data from IoT devices. Performance in stress management software is improved by the system, which is designed to work with multiple languages. Availability in both English and Sinhala languages is ensured by the system.