The AI-powered mental health support system aims to improve mental healthcare by integrating emotion recognition technologies with real-time virtual assistance. The system uses a multimodal approach that combines facial expression recognition, voice analysis, and an intelligent chatbot to detect emotional states and identify signs of depression. Deep learning models, particularly Convolutional Neural Networks (CNNs), are used to analyze facial expressions, while voice inputs are processed to evaluate tone and speech patterns. The system provides real-time emotional insights to support early detection and intervention. Additionally, an AI-based chatbot offers interactive support through empathetic conversations, mental health guidance, and continuous user engagement. This integrated approach enhances emotional monitoring, improves accessibility to mental healthcare, and supports professionals in making informed decisions.
Sameeksha et al. (2025) studied this question.