Mental Well

Research on mental well-being increasingly leverages artificial intelligence to address the growing need for accessible and effective mental health support. Current efforts focus on developing AI-powered chatbots and analysis tools using large language models (LLMs), such as LLaMA, and other architectures like BERT, CNNs, and LSTMs, to detect, analyze, and respond to emotional states from various modalities (text, speech, images). This work aims to improve early detection of conditions like depression, provide personalized interventions, and enhance the efficacy of existing therapies, particularly in underserved populations. The ultimate goal is to improve mental health outcomes through the development of more sensitive, accessible, and culturally appropriate AI-driven tools.