Leveraging Artificial Intelligence in Computer Science to Manage Stress and Anxiety: Applications and Innovations

This study explores the effectiveness, ethical considerations, and demographic influences of AI-based interventions in managing stress and anxiety. AI technologies, including Machine Learning, Natural Language Processing (NLP), and Biometric Monitoring, have shown promising results in reducing stress and anxiety across diverse populations. Machine Learning algorithms excel in predictive analytics, enabling early detection and intervention, while NLP tools offer real-time cognitive-behavioural therapy (CBT) and emotional support through AI-powered chatbots. Biometric Monitoring provides objective physiological data, further enhancing the precision of stress management strategies. However, the effectiveness of these interventions is influenced by demographic variables such as age, gender, socio-economic status, and cultural background, with younger, tech-savvy users and those of higher socio-economic status showing greater engagement and benefit. Also, the mobile application named “sahayya” has been discussed along with its merits. Discussing how technology can be put to better use.