# An Overview of Tools and Technologies for Anxiety and Depression Management Using AI
###### Abstract
Furthermore, the COVID-19 pandemic has worsened the occurrence of these diseases, resulting in heightened levels of stress, uncertainty, social isolation, and financial hardships, therefore strengthening pre-existing mental health concerns [5]. The fast advancement of technology and the widespread use of social media have had a substantial impact on individuals' mental health. This is due to longer exposure to digital displays and increased isolation, which can lead to feelings of unhappiness [7]. Addressing anxiety and depression necessitates a comprehensive strategy that encompasses timely identification, availability of high-quality mental health care, destigmatization efforts, and all-encompassing support systems [8]. Based on the information provided, we will now examine how technology might help alleviate the symptoms of anxiety and sadness. The objective of this study is to examine the influence of new technologies, such as machine learning, and mobile therapy applications on the identification and management of symptoms associated with these two mental diseases. Special attention will be given to the accessibility of these technologies, as well as the potential hazards associated with the handling of personal data. This objective results in the creation of the research inquiries, which will serve as the foundation for the whole research project. Therefore, the following are explicitly defined:  
* Can artificial intelligence effectively aid in the identification and management of symptoms associated with anxiety and depression by addressing the limitations of traditional diagnostic methods and providing continuous, personalized support for improved mental health outcomes? * Which artificial intelligence techniques are currently employed for symptom management of anxiety and depression, and how is their efficacy evaluated? * What potential benefits and dangers are arising from the utilization of these technologies by individuals and health care practitioners? This study addresses a scientific need by using artificial intelligence to identify and treat anxiety and depression. Two prominent mental health disorders, anxiety and depression, have been the focus of most research regarding psychotherapy, pharmacotherapy, and cognitive behavioral therapy. Limited research has examined, particularly in the context of modernizing existing methodologies, the potential advantages of artificial intelligence in mental health diagnosis and treatment. While artificial intelligence may provide immediate, customized support, its enduring accuracy in detecting intricate emotional states remains unverified. The research examines virtual reality, smartphone applications, and chatbots as AI technologies for symptom management and diagnosis to address this gap. These artificial intelligence technologies provide continual assistance and oversight--a capability that traditional methods cannot achieve without substantial expense. Artificial-intelligence-based mental health therapy enhances accessibility in regions lacking mental health professionals [6]. The worldwide increase in anxiety and despair needs innovative, scalable mental health interventions, as stated by the World Health Organization in 2017. This unique study examines the use of advanced artificial intelligence technologies, such as machine learning and natural language processing, in the treatment of mental health. These devices can identify patterns in large datasets that individuals may overlook. In order to answer these research questions, a review of the available scientific literature will be carried out. The completion of this research is expected to initially clarify how artificial intelligence tools and the individual technologies embedded in them help identify and manage symptoms of anxiety and depression. Practical use examples help to better appreciate the power of artificial intelligence applications in enabling access to mental health treatment by means of lists of individual strengths rather than just descriptions of them.