Mental Health tracking is growing to be one of the most sought-after fields inside Machine Learning, but most solutions in the market rely on timed surveys which does not account for the human bias associated with these surveys, especially for children ⮚ So, how to eliminate this? How do we extract information about the human brain without asking it? ⮚ By tricking it. Our idea is to extract information about a child’s mental wellbeing and attention span from their Game-playing behavior, currently we will look at primarily ADHD in children (ages 5 to 12) ⮚ What we propose: A two interfaced application that takes a survey from the child’s Guardian and tracks, assesses and provides mindful exercises to a child in the form of fables and small games. The idea is to not let the child be aware that they are being assessed, to them, it will only be a game
Check it out on: https://drive.google.com/file/d/1Ab_ZWCfhylvW2oCe5zd-kZc32wz8masQ/view?usp=drivesdk
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