By efficiently identifying emotional cues, our algorithm streamlines the diagnostic process for psychiatrists, enabling them to allocate more focused time during sessions to assess patient emotions.
Our project is about the following: Employing Python-based Multi layer Perceptron neural networks (MLP) and machine learning techniques, our team has developed an advanced algorithm. This tool aims to assist psychiatrists in the preliminary diagnosis of ADHD by analyzing recorded voice notes to detect emotional patterns. Emotion dysregulation is among the factors potentially linked to … Read more