Mental Health and Well-Being, Assessment, and Tracking Solution among Children

Our study addresses the increasingly digitized world that children experience, often amidst numerous emotional stressors. Our AI model begins by asking users to log in or register with the platform, ensuring privacy and security. It requests children to answer identity questions while their camera is on. This approach captures facial expressions and body language, ensuring sensitive perceptivity. Machine learning algorithms process video feeds to detect potential mental illness and provide customized interventions and activities for psychological well-being. These activities are fun, creative, and tailored to each child's emotional needs. We aim to equip children with self-awareness and effective mental health management tools. This project marks a significant advancement in using AI technology to enhance children's mental well-being.