Published Paper Details:

Mental health disorders, particularly depression, are on the rise due to factors like excessive social media use, stress, and unhealthy lifestyle habits. To tackle this issue, we've developed a groundbreaking system that combines artificial intelligence, natural language processing, and personalized insights to provide real-time mental wellness support. Our Deep Learning-Powered Holistic Mental Health and Wellness Analyzer is designed to assess user mood, detect depression symptoms, and offer tailored recommendations. Using advanced sentiment analysis and emotional intelligence, our system achieves an impressive 98.9% accuracy in depression detection. But that's not all. Our platform also includes a personalized nutrition module that explores the link between diet and mental well-being, as well as Fit-Harmony music therapy, which creates customized playlists to promote relaxation and balance. With accuracy rates of 78.5% in mood-based music recommendations and 82.3% in dietary suggestions, our system provides users with a comprehensive and supportive mental health journey. By harnessing the power of machine learning, predictive analytics, and real-time monitoring, our platform offers an interactive and user-friendly mental health tracking experience.