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@article{177001,
        author = {A.SNIGDHA SAEE and G.YASHASWINI and A.RISHI PREETHAM and A.ABHINAY},
        title = {MENTAL WELLNESS COMPANION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {878-884},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177001},
        abstract = {Mental health plays a vital role in overall well-being, yet factors such as stigma, limited accessibility, and resource constraints often hinder effective support. This literature review examines various digital intentions and companion technologies aimed at enhancing mental wellness. Key studies explore the effectiveness of art therapy, gamified mental health applications, conversational Al, and emotion-recognition systems in delivering personalized and accessible support. The review highlights the advantages of Al-driven mental health companions, particularly their ability to provide non-judgmental interactions, emotional assistance, and symptom monitoring. However, challenges such as inconsistent Al responses, ethical concerns, and the necessity for empirical validation persist. Additionally, workplace support strategies and advancements in psychiatry are assessed to promote a comprehensive approach to mental health care.},
        keywords = {Wellbeing, Al chatbot, Emotional recognition, User, Meditate, Problems.},
        month = {May},
        }