Al-Driven Qualitative Research in Smart Cities: Enhancing Emotional Resilience in Youth and Children
DOI:
https://doi.org/10.4108/eetismla.9497Keywords:
artificial intelligence, emotional resilience, youth, children, smart cities.Abstract
INTRODUCTION: Industry 5.0 has brought advanced AI-driven technologies into qualitative research and data analysis, particularly in systems that are very important to the purpose. This research examines the use of AI algorithms to evaluate emotional resilience in kids and children in smart cities. The study underscores Al's role in qualitative research to substantiate the efficacy of these algorithms in assessing emotional resilience and advocating for interventions that improve emotional well-being. The main goal of this research is to see how accurate and reliable AI algorithms are when they measure emotional resilience. The goal of the project is to leverage these technologies to make treatments that make kids and teens in smart cities feel better emotionally, which will help them grow up in a caring environment.
METHODOLOGY: A quantitative, descriptive, and exploratory methodology is used, using data gathered from children to examine emotional reactions via deep neural network models. These models are designed to find levels of resilience with amazing accuracy, sensitivity, and specificity, with the goal of getting accuracy rates above eighty percent.
RESULTS: The results indicate that AI-driven technology may provide comprehensive qualitative insights into the emotional resilience of adolescents and children. The research underscores the capacity of these technologies to provide personalized treatments and assistance, hence improving emotional well-being in smart city contexts. The findings indicate that AI might enhance emotional resilience, facilitate early detection of emotional problems, and enable prompt assistance. The suggested model was able to find emotional resilience with 94% accuracy, 92% sensitivity, 88% specificity, and 95% AUC. These results demonstrate the efficacy of AI-driven approaches in the early detection of emotional problems among adolescents and teenagers inside smart city environments. The research shows that AI technologies are very important for figuring out how to help kids and teens become more emotionally strong. It backs the employment of these technologies in the public health and education systems of smart cities to help kids develop emotionally. This plan makes it simpler to get in early and helps create a strong, supportive community.
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