AI Voice Assistant and Caption Generation Using Convolution Neural Network and Bi LSTM
Abstract
This research examines the physiological reactions to stress in light of the heightened stress levels observed among workers and students during the COVID-19 pandemic, particularly in distant work and virtual learning contexts. The study investigates several factors that affect stress levels in distant workers and students since it is important to understand these responses. By using ideas from psychology, physiology, and technology, the research finds the main causes of increased stress in different groups of people. The suggested approach has important effects on occupational health because it gives remote workers access to tools and information that can help them make their work environments healthier. In the same way, the system improves student well-being in virtual learning environments by giving them important support during the difficulties of remote learning. Additionally, this type of technology is useful in other areas, such as telemedicine, and it is helping to create technology-based solutions for managing stress and improving health in general. We want to help people deal with the stress of working from home and learning online by using new technologies and greater understanding of psychology. In the end, we want to help people become more resilient and healthy in the face of new obstacles.
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