ADHD diagnosis model from eye tracking data – Braingaze

Description

As part of my Master thesis for Computer Vision and Robotics degree I worked on developing a neural network classifier for detecting presence and type of ADHD in patients, based on attention biomarker from eye tracking data. I implemented the whole solution in Python for data preprocessing and Azure ML for building the diagnosis model.