NURTURE An Analytical Model that Supports Healthy Relationship Between Parents And Children Using Machine Learning

The mental health of children aged 6 to 15 is a vital concern, given that not all youngsters find it easy to confide in parents regarding issues like school bullying and emotional struggles. This research delves into the complex problem of children's hesitancy to share problems and proposes strategies for addressing this within the evolving landscape of modern families. The current context is marked by a rise in dual-income households and nuclear families, leading to reduced parent-child time and weakened relationships. Amidst this, the study underscores the importance of optimizing the limited time parents and children have together. Recognizing timeconstraints, the research introduces a novel approach: enhancing the impact of existing time. By equipping parents with insights into children's moods, they can tailor interactions accordingly. If a child feels down, a day of attention, affection, and understanding can be provided, while happier days may require less parental involvement. The study promotes cultivating a friendly parental approach, aiming for stronger parent-child bonds. As parents adapt to children's emotional needs, a more open and communicative relationship is likely to develop. Ultimately, this research contributes to improving children's mental health within the bounds of contemporary family dynamics.