Black, Latino, and white children show symptoms for ADHD at the same rate as white people. However, black children are 69% less likely, and Latino children are 50% less likely, to receive a diagnosis for ADHD than white children.

The under-diagnosis of ADHD for students of color have consequences in and out of the classroom. Students who show ADHD symptoms without a diagnosis are less likely to receive adequate support from teachers and more likely to dropout of school. Studies have suggested a pipeline from misdiagnosis to prisons because it is estimated that up to 40% of inmates in the US may have ADHD. Thus, the misdiagnosis of minorities may contribute to racial and ethnic minorities being disproportionately represented in the US prison system.

While our solution is not a replacement for a medical diagnosis to ADHD, our solution seeks to address the problems of low self-esteem and inadequate support experienced by students who display symptoms that are similar to ADHD.

Our solution provides teachers with an unbiased resource for them to support students who show ADHD symptoms. On our website, teachers can select actions by their students that pose problems in a school environment. For instance, a teacher may notice that a student has trouble meeting deadlines. Our platform uses machine-learning and a feedback loop to suggest strategies that the teachers can use to support these students effectively. For instance,

Our solution also helps students who display ADHD symptoms to gain more confidence inside the classroom. It uses similar feedback loops to suggest strategies for students to achieve objectives such as meeting deadlines. To enhance communication between students and teachers, students can also share the strategies they have tried with their teachers.

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