Bullying is one the leading causes of suicide, depression and loneliness. There are many variations to the problem, but with emerging technologies in machine learning I want to create a solution that can account for these variations and end bullying.
There are many existing campaigns, applications, and conferences that focuses on anti-bullying and spreading awareness to families, teachers, and children. However, many of these existing solutions relies on an authority of power to care, families to recognize various bullying symptoms, and children to be developed enough to comprehend and utilize the resources available to them.
In these cases, there are many variations to the problem dependent on the individual, school, location, culture, and other unique factors. With emerging technologies in machine learning, I want to create a unique solution that can account for these variations and effectively resolve one of the largest contributing factors that leads to suicide, depression, and loneliness.