Neural Pathways to Emotional Wellness: Merging AI-Driven VPSYC Systems with EEG and Facial Recognition

Abstract

Our study brings together AI-driven VPSYC systems with EEG brain monitoring and facial image recognition to improve emotional health. The research shows how our current technology can help us understand emotional states while offering fast solutions because it follows natural brain pathways and improves machine learning functions. VPSYC systems with their advanced algorithms examine EEG readings and facial movement patterns to create valuable intelligence for better mental health outcomes. Doctors rely on this technology to create custom emotional treatments and monitor stress levels plus offer instant therapeutic support. The exploration discusses system efficiency problems plus data blending issues, while analyzing how to maintain performance at scale alongside ethical requirements for privacy security and bias avoidance. This study highlights both tech breakthroughs and social effects to show how robust systems need to protect emotional wellness and reliable AI systems.