MENTAL HEALTH PREDICTION IN CHILDREN USING THE SOCIAL MEDIA CONTENT

Introduction: Mental health is now a crucial part of leading a fulfilling life. People without proper mental health maintenance cannot live well. It's not just adults who face this issue; nowadays, these cases are also visible in young people, especially those using social media or visiting specific types of online content. There is a high chance that we can identify this behavior early and prevent them from accessing harmful content or help them get the necessary support from adults. Research question: Is it possible to find the early stage of mental health, especially depression or anxiety, in children or young people based on the social media content they are watching or the type of content they are visiting? Methods: Developing a model that helps to flag the type of content they are watching or visiting and flag them of different levels of affect it has on the people or what way it is affecting them and then based on the data, we will train the model for predicting and also protection model Biggest question: The data privacy. No one wants to share the type of content they are visiting or watching, even if we track them How much concern is it that some one is seeing what you are going through? So we have to go through a vigorous process so that data is protected and not used against certain individuals Basically, it’s a kids YouTube how can parents see what type of content the kids are watching? Results: We can identify the people who are facing mental issues beforehand, help them out and also protect children from the dangerous content they are watching