Abstract :  The use of technology in mental health has grown significantly in recent years, with the emergence of mental health tracker web applications. These applications allow individuals to track their mood, symptoms, and behaviors, and may offer resources and tools for managing mental health. This paper discusses proposed mental health tracker systems, which typically include features such as mood tracking, symptom tracking, and behavior tracking. Additionally, this paper highlights the importance of conducting a literature survey to better understand the current state of research on mental health tracker web applications, including their effectiveness and potential benefits and drawbacks. A literature survey could provide valuable insights into the most effective features and interventions for these applications, and help identify areas where further research is needed. Overall, mental health tracker web applications have the potential to improve mental health outcomes and offer a valuable tool for managing mental health conditions.

Keywords: Machine Learning, Track Mental Health, Flutter, Mental Health Dataset.

PDF | DOI: 10.17148/IJARCCE.2023.125150

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